The Wikimedia Foundation is looking for a Senior Machine Learning Engineer to join a small team spread across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and will report to the Machine Learning Engineering Manager, Ilias Sarantopoulos. As a Senior Machine Learning Engineer, you will be responsible for planning, developing, training, documenting, deploying, and managing production machine learning models. In this role, you will work with product teams, SREs, researchers, and the volunteer community on machine learning models making Wikipedia and similar projects better.You are responsible for:Working with internal customers (e.g. other teams inside the Wikimedia Foundation) and external customers (e.g. Wikipedia editors and other volunteers) to build, deploy, and manage productionized, scaled machine learning models. This includes communicating with the customers early to assess needs, working with them to scope out the appropriate tooling that might be needed, gathering the training data, training the model is a repeatable process, deploying the model on a deployment cluster, and monitoring that model over time.Helping other teams at the Foundation and the broader community understand the work conducted on the team.Skills and Experience:5+ years of experience in an MLE and/or MLOps role as part of a team deploying production models.Experience with popular Python ML libraries.Strong English language skills.Experience with global coworkers.Experience with remote work and/or async work.Qualities that are important to us:Able to work collaboratively on remote teams.Experience with volunteer communities and open-source software development.Positivity and solution focused.Independently motivated.Additionally, wed love you to fitoneof three skill sets:ML infrastructure:You have interest and experience in building backend production ML systems. You understand how real world MLOps systems work and how to use infrastructure to maximize the performance of models.Model development and maintenance:You have interest and experience converting a model from a researcher into an efficient, high performing production ML service. You understand how to expand on the work of a researcher to develop and maintain models in production.ML product Integration:You have interest and experience in helping front-end and feature product teams effectively use machine learning models. You understand the needs and challenges of product teams using machine learning and have built services that help make ML-related work of those teams easier and faster.About the Wikimedia FoundationThe Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$109,047to US$169,455with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.*Please note that we are currently able to hire in the following countries:Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Arab Emirates, United Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR).We periodically review this list to streamline to ensure alignment with our hiring requirements.All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.More informationU.S. Benefits & PerksWikimedia FoundationApplicant Privacy PolicyNews from across the Wikimedia movementBlogWikimedia 2030Our Commitment to EquityThis is Wikimedia FoundationFacts MatterOur ProjectsOur Tech Stack#J-18808-Ljbffr

We're Cruise, a self-driving service designed for the cities we love. We're building the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. In our cars, you're free to be yourself. It's the same here at Cruise. We're creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us. We're seeking an experienced Tech Lead / Staff ML Software Engineer to drive our Perception Evaluation team's technical direction and architecture, focusing on designing and implementing next-generation autonomous vehicle perception solutions while working closely with ML researchers and engineers.
What You'll Be Doing Drive technical roadmap and architect perception evaluation systems that shape multi-year product strategy.
Design and implement scalable ML evaluation frameworks, pipelines, and infrastructure to enable rapid iteration and validation of perception models.
Create and maintain technical standards, best practices, and design patterns across perception evaluation systems.
Develop innovative technical solutions for complex ML evaluation challenges in autonomous vehicle perception.
Partner with ML Research, Data, and Infrastructure teams to drive technical alignment and implementation
Establish metrics, processes, and frameworks for systematic evaluation of ML models
Lead technical deep dives, root cause analysis, and architecture discussions
Champion code quality, testing standards, and technical documentation practices
What You Must Have
BS, MS, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or related field (or equivalent practical experience)
5+ years of software engineering experience with focus on large-scale systems.
2+ years of technical leadership experience driving complex projects and architectural decisions
Track record of successful cross-functional technical collaboration.
Expert-level programming skills in Python and C++
Deep understanding of ML model lifecycle, MLOps, and evaluation metrics
Extensive experience with ML frameworks (PyTorch, TensorFlow) and ML infrastructure
Strong expertise in distributed systems design and architecture
Proven track record of leading complex technical projects and making architectural decisions at scale
Expertise in designing and implementing large-scale data processing pipelines
Excellence in technical communication and documentation
Nice to Have
Experience with autonomous systems or robotics
Familiarity with SQL and data engineering
Publications in ML/CV conferences
Contributions to open-source ML/robotics projects
The salary range for this position is $175,100 - $257,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change. Why Cruise? Our benefits are here to support the whole you: Competitive salary and benefits
Medical / dental / vision, Life and AD&D
Subsidized mental health benefits
Paid time off and holidays
Paid parental, medical, family care, and military leave of absence
401(k) Cruise matching program
Fertility benefits
Dependent Care Flexible Spending Account
Flexible Spending Account & Health Saving Account
Perks Wallet program for benefits/perks
Pre-tax Commuter benefit plan for local employees
CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).
We're Integrated
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
We're Funded
GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed. Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws. Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email HR@getcruise.com. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives. Know Your Rights: Workplace Discrimination is Illegal In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver's license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required. Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners. No Application Deadline

We're Cruise, a self-driving service designed for the cities we love. We're building the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. In our cars, you're free to be yourself. It's the same here at Cruise. We're creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us. We're seeking an experienced Tech Lead / Staff ML Software Engineer to drive our Perception Evaluation team's technical direction and architecture, focusing on designing and implementing next-generation autonomous vehicle perception solutions while working closely with ML researchers and engineers. What You'll Be Doing <ul><li>Drive technical roadmap and architect perception evaluation systems that shape multi-year product strategy.</li><li>Design and implement scalable ML evaluation frameworks, pipelines, and infrastructure to enable rapid iteration and validation of perception models.</li><li>Create and maintain technical standards, best practices, and design patterns across perception evaluation systems.</li><li>Develop innovative technical solutions for complex ML evaluation challenges in autonomous vehicle perception.</li><li>Partner with ML Research, Data, and Infrastructure teams to drive technical alignment and implementation</li><li>Establish metrics, processes, and frameworks for systematic evaluation of ML models</li><li>Lead technical deep dives, root cause analysis, and architecture discussions</li><li>Champion code quality, testing standards, and technical documentation practices</li></ul>What You Must Have <ul><li>BS, MS, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or related field (or equivalent practical experience)</li><li>5+ years of software engineering experience with focus on large-scale systems.</li><li>2+ years of technical leadership experience driving complex projects and architectural decisions</li><li>Track record of successful cross-functional technical collaboration.</li><li>Expert-level programming skills in Python and C++</li><li>Deep understanding of ML model lifecycle, MLOps, and evaluation metrics</li><li>Extensive experience with ML frameworks (PyTorch, TensorFlow) and ML infrastructure</li><li>Strong expertise in distributed systems design and architecture</li><li>Proven track record of leading complex technical projects and making architectural decisions at scale</li><li>Expertise in designing and implementing large-scale data processing pipelines</li><li>Excellence in technical communication and documentation</li></ul>Nice to Have <ul><li>Experience with autonomous systems or robotics</li><li>Familiarity with SQL and data engineering</li><li>Publications in ML/CV conferences</li><li>Contributions to open-source ML/robotics projects</li></ul> The salary range for this position is $175,100 - $257,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change. Why Cruise? Our benefits are here to support the whole you: <ul><li>Competitive salary and benefits </li><li>Medical / dental / vision, Life and AD&D</li><li>Subsidized mental health benefits</li><li>Paid time off and holidays</li><li>Paid parental, medical, family care, and military leave of absence</li><li>401(k) Cruise matching program </li><li>Fertility benefits</li><li>Dependent Care Flexible Spending Account</li><li>Flexible Spending Account & Health Saving Account</li><li>Perks Wallet program for benefits/perks</li><li>Pre-tax Commuter benefit plan for local employees</li><li>CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).</li></ul>We're Integrated <ul><li>Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.</li></ul>We're Funded <ul><li>GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.</li></ul> Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws. Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email HR@getcruise.com. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives. Know Your Rights: Workplace Discrimination is Illegal In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver's license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required. Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners. No Application Deadline

The Wikimedia Foundation is looking for a Senior Machine Learning Engineer to join a small team spread across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and will report to the Machine Learning Engineering Manager, Ilias Sarantopoulos. As a Senior Machine Learning Engineer, you will be responsible for planning, developing, training, documenting, deploying, and managing production machine learning models. In this role, you will work with product teams, SREs, researchers, and the volunteer community on machine learning models making Wikipedia and similar projects better.
You are responsible for:
Working with internal customers (e.g. other teams inside the Wikimedia Foundation) and external customers (e.g. Wikipedia editors and other volunteers) to build, deploy, and manage productionized, scaled machine learning models. This includes communicating with the customers early to assess needs, working with them to scope out the appropriate tooling that might be needed, gathering the training data, training the model is a repeatable process, deploying the model on a deployment cluster, and monitoring that model over time. Helping other teams at the Foundation and the broader community understand the work conducted on the team. Skills and Experience:
5+ years of experience in an MLE and/or MLOps role as part of a team deploying production models. Experience with popular Python ML libraries. Strong English language skills. Experience with global coworkers. Experience with remote work and/or async work. Qualities that are important to us:
Able to work collaboratively on remote teams. Experience with volunteer communities and open-source software development. Positivity and solution focused. Independently motivated. Additionally, we’d love you to fitoneof three skill sets:
ML infrastructure:You have interest and experience in building backend production ML systems. You understand how real world MLOps systems work and how to use infrastructure to maximize the performance of models. Model development and maintenance:You have interest and experience converting a model from a researcher into an efficient, high performing production ML service. You understand how to expand on the work of a researcher to develop and maintain models in production. ML product Integration:You have interest and experience in helping front-end and feature product teams effectively use machine learning models. You understand the needs and challenges of product teams using machine learning and have built services that help make ML-related work of those teams easier and faster. About the Wikimedia Foundation The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$109,047to US$169,455with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
*Please note that we are currently able to hire in the following countries:Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Arab Emirates, United Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR).
We periodically review this list to streamline to ensure alignment with our hiring requirements.
All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.
If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.
More information
U.S. Benefits & Perks Wikimedia Foundation Applicant Privacy Policy News from across the Wikimedia movement Blog Wikimedia 2030 Our Commitment to Equity This is Wikimedia Foundation Facts Matter Our Projects Our Tech Stack
#J-18808-Ljbffr

The Wikimedia Foundation is looking for a Senior Machine Learning Engineer to join a small team spread across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and will report to the Machine Learning Engineering Manager, Ilias Sarantopoulos. As a Senior Machine Learning Engineer, you will be responsible for planning, developing, training, documenting, deploying, and managing production machine learning models. In this role, you will work with product teams, SREs, researchers, and the volunteer community on machine learning models making Wikipedia and similar projects better.

You are responsible for:

Working with internal customers (e.g. other teams inside the Wikimedia Foundation) and external customers (e.g. Wikipedia editors and other volunteers) to build, deploy, and manage productionized, scaled machine learning models. This includes communicating with the customers early to assess needs, working with them to scope out the appropriate tooling that might be needed, gathering the training data, training the model is a repeatable process, deploying the model on a deployment cluster, and monitoring that model over time.
Helping other teams at the Foundation and the broader community understand the work conducted on the team.
Skills and Experience:

5+ years of experience in an MLE and/or MLOps role as part of a team deploying production models.
Experience with popular Python ML libraries.
Strong English language skills.
Experience with global coworkers.
Experience with remote work and/or async work.
Qualities that are important to us:

Able to work collaboratively on remote teams.
Experience with volunteer communities and open-source software development.
Positivity and solution focused.
Independently motivated.
Additionally, we’d love you to fitoneof three skill sets:

ML infrastructure:You have interest and experience in building backend production ML systems. You understand how real world MLOps systems work and how to use infrastructure to maximize the performance of models.
Model development and maintenance:You have interest and experience converting a model from a researcher into an efficient, high performing production ML service. You understand how to expand on the work of a researcher to develop and maintain models in production.
ML product Integration:You have interest and experience in helping front-end and feature product teams effectively use machine learning models. You understand the needs and challenges of product teams using machine learning and have built services that help make ML-related work of those teams easier and faster.
About the Wikimedia Foundation
The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$109,047to US$169,455with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following countries:Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Arab Emirates, United Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR).

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks
Wikimedia Foundation
Applicant Privacy Policy
News from across the Wikimedia movement
Blog
Wikimedia 2030
Our Commitment to Equity
This is Wikimedia Foundation
Facts Matter
Our Projects
Our Tech Stack

#J-18808-Ljbffr

Overview: <h2>Working at Atlassian</h2>Atlassians have flexibility in where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is seeking a Lead Principal Machine Learning Software Engineer to join our Central AI team. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company. Responsibilities: <h2>Your future team</h2>The Central AI organization is a key component of the broader Atlassian Intelligence initiative. Its mission is to expedite AI innovation across all our products and platforms, ensure a unified AI user experience, and establish a robust AI infrastructure for Atlassian's future.While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.<h2>What youll do</h2>As a Lead Principal Machine Learning Software Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms. You will be tasked with training complex models and working in close collaboration with product, back end/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite. Qualifications: <h2>Your background</h2><h3>On the first day, we'll expect you to have:</h3><ul><li>Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)</li><li>15+ years of related industry experience in the data science domain</li><li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li><li>Experience building and scaling machine learning models in business applications using large amounts of data</li><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li><li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li><li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li></ul><h3>It's great, but not required, if you have:</h3><ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li><li>Experience with large-scale web search or enterprise search systems</li><li>Experience in developing deep learning-based models and working on LLM-related applications</li><li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li></ul><h2>Our perks & benefits</h2>Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a> to learn more.<h2>About Atlassian</h2>At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $279,600 - $372,800 Zone B: $251,600 - $335,500 Zone C: $232,100 - $309,400This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit <a href="http://go.atlassian.com/payzones">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Overview: <h5>Working at Atlassian </h5>Atlassians have flexibility in where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is seeking a Lead Principal Machine Learning Software Engineer to join our Central AI team. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company. Responsibilities: <h5>Your future team </h5>The Central AI organization is a key component of the broader Atlassian Intelligence initiative. Its mission is to expedite AI innovation across all our products and platforms, ensure a unified AI user experience, and establish a robust AI infrastructure for Atlassian's future. While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation. <h5>What youll do </h5>As a Lead Principal Machine Learning Software Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms. You will be tasked with training complex models and working in close collaboration with product, back end/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite. Qualifications: <h5>Your background </h5><h5>On the first day, we'll expect you to have: </h5><ul> <li>Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience) </li> <li>15+ years of related industry experience in the data science domain </li> <li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) </li> <li>Experience building and scaling machine learning models in business applications using large amounts of data </li> <li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story </li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" </li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement </li> </ul><h5>It's great, but not required, if you have: </h5><ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space </li> <li>Experience with large-scale web search or enterprise search systems </li> <li>Experience in developing deep learning-based models and working on LLM-related applications </li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions </li> </ul><h5>Our perks & benefits </h5>Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more. <h5>About Atlassian </h5>At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. To learn more about our culture and hiring process, visit go.atlassian.com/crh Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $279,600 - $372,800 Zone B: $251,600 - $335,500 Zone C: $232,100 - $309,400 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Machine Learning Software Engineer Jobs in San Francisco, CA

Senior Machine Learning Software Engineer
December 11, 2024

Staff Machine Learning Software Engineer Perception
December 11, 2024

Staff Machine Learning Software Engineer Perception
December 10, 2024

Senior Machine Learning Software Engineer
December 9, 2024

Senior Machine Learning Software Engineer
December 6, 2024

Lead Principal Machine Learning Software Engineer
December 5, 2024

Lead Principal Machine Learning Software Engineer
December 1, 2024

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Machine Learning Software Engineer Jobs in San Francisco, CA

Senior Machine Learning Software EngineerDecember 11, 2024

Staff Machine Learning Software Engineer PerceptionDecember 11, 2024

Staff Machine Learning Software Engineer PerceptionDecember 10, 2024

Senior Machine Learning Software EngineerDecember 9, 2024

Senior Machine Learning Software EngineerDecember 6, 2024

Lead Principal Machine Learning Software EngineerDecember 5, 2024

Lead Principal Machine Learning Software EngineerDecember 1, 2024