<b><strong>Company Overview:</strong></b><br><br>Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics-one manipulation skill at a time.<br><br>Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics<br><br><b><strong>Position</strong></b><br><br>Dyna Robotics is seeking an innovative AI Research Engineer to spearhead the design and development of cutting-edge AI models for dexterous robotic manipulation-a critical pillar in driving our go-to-market applications and advancing our vision of adaptable, multi-functional robots. In this role, you'll own the entire AI model lifecycle, from data acquisition and preprocessing through to deployment and real-world performance optimization. Your expertise will play a pivotal role in shaping Dyna Robotics' immediate product milestones and establishing a distinct competitive edge in the robotics industry.<br><br><strong><b><strong>Key Responsibilities</strong></b></strong><br><br><ul><li>Conduct research and develop novel AI models focused on robotic manipulation</li><li>Design and implement scalable data infrastructure to accelerate model and algorithm iteration</li><li>Collaborate with cross-functional teams to enhance the capabilities of robotic manipulation systems</li><li>Develop and deploy reliable, high-quality robotic software solutions</li><li>Establish and monitor metrics to evaluate and improve model performance</li></ul><br><strong><b><strong>Qualifications</strong></b></strong><br><br><ul><li>Master's degree or higher in Computer Science, Robotics, or a related field, or equivalent practical experience</li><li>At least 3 years of experience in AI and robotics engineering</li><li>Proven experience in building end-to-end robotic learning solutions, from data collection to model deployment</li><li>Deep understanding of robot learning methods, such as reinforcement learning, imitation learning, variational autoencoders (VAEs), and diffusion models</li><li>Proficiency in large-scale data processing and pipeline creation</li><li>Knowledge of data integrity challenges and solutions</li><li>Strong foundation in Computer Science fundamentals (e.g., operating systems, databases, networking)</li><li>Experience with infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform.</li><li>Expertise in Python and proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX)</li><li>Passion for robotics and advancing robotic products</li><li>Excellent analytical and problem-solving skills</li><li>Adaptability to perform tasks necessary to ensure model or algorithm success in real-world applications</li></ul><br><strong><b><strong>Preferred Qualifications</strong></b></strong><br><br><ul><li>Experience with multi-modal foundation models</li><li>High levels of creativity, productivity, and autonomy in research</li><li>Familiarity with robotic simulation platforms such as MuJoCo, NVIDIA Isaac, or Drake</li></ul>

<p> Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time. </p><p> Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics </p><p><b><strong>Position</strong></b></p><p> Dyna Robotics is seeking an innovative AI Research Engineer to spearhead the design and development of cutting-edge AI models for dexterous robotic manipulation—a critical pillar in driving our go-to-market applications and advancing our vision of adaptable, multi-functional robots. In this role, you’ll own the entire AI model lifecycle, from data acquisition and preprocessing through to deployment and real-world performance optimization. Your expertise will play a pivotal role in shaping Dyna Robotics' immediate product milestones and establishing a distinct competitive edge in the robotics industry. </p><h3><b><strong>Key Responsibilities</strong></b></h3><ul><li> Conduct research and develop novel AI models focused on robotic manipulation </li><li> Design and implement scalable data infrastructure to accelerate model and algorithm iteration </li><li> Collaborate with cross-functional teams to enhance the capabilities of robotic manipulation systems </li><li> Develop and deploy reliable, high-quality robotic software solutions </li><li> Establish and monitor metrics to evaluate and improve model performance </li></ul><h3><b><strong>Qualifications</strong></b></h3><ul><li> Master’s degree or higher in Computer Science, Robotics, or a related field, or equivalent practical experience </li><li> At least 3 years of experience in AI and robotics engineering </li><li> Proven experience in building end-to-end robotic learning solutions, from data collection to model deployment </li><li> Deep understanding of robot learning methods, such as reinforcement learning, imitation learning, variational autoencoders (VAEs), and diffusion models </li><li> Proficiency in large-scale data processing and pipeline creation </li><li> Knowledge of data integrity challenges and solutions </li><li> Strong foundation in Computer Science fundamentals (e.g., operating systems, databases, networking) </li><li> Experience with infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform. </li><li> Expertise in Python and proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX) </li><li> Passion for robotics and advancing robotic products </li><li> Excellent analytical and problem-solving skills </li><li> Adaptability to perform tasks necessary to ensure model or algorithm success in real-world applications </li></ul><h3><b><strong>Preferred Qualifications</strong></b></h3><ul><li> Experience with multi-modal foundation models </li><li> High levels of creativity, productivity, and autonomy in research </li><li> Familiarity with robotic simulation platforms such as MuJoCo, NVIDIA Isaac, or Drake </li></ul>
#J-18808-Ljbffr

<div><p>As an Applied Research Scientist, you will innovate and translate cutting edge research into user experiences. We’re looking for a talented researcher to join the team to work on foundational multimodal problems with the focus on data development techniques.</p><h3><strong>Main Responsibilities</strong></h3><ul><li>Establish and empirically demonstrate the state-of-the-art approaches for data-centric model iteration and analysis</li><li>Prototype end-to-end workflows with novel techniques and algorithms, synthesize results, and help to transfer learnings into Snorkel products</li><li>Work closely with design partners to validate your work on real-world use cases with measurable impact</li><li>Contribute to novel research on topics of interest to Snorkel AI by collaborating with other Snorkel Research scientists and affiliate scientists (academic, government, and industry researchers)</li><li>Work a hybrid schedule in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays</li></ul><h3><strong>Preferred Qualifications</strong></h3><ul><li>PhD + 2+ YOE working on applied research on Computer Vision tasks</li><li>Experience with 3D Computer vision</li><li>Experience handling large scale medical imaging datasets including CT-Scan or robotics LiDAR datasets.</li><li>Experience in delivering one or more of these domains: Large vision language models, visual question answering, image-text alignment, text to image, text to video, text to motion, image to video, image captioning, activity/action recognition, Augmented and Virtual reality, object detection, semantic segmentation, depth estimation, trajectory prediction, pose estimation, keypoint detection and tracking, medical vision (MRI, CT-Scan, X-ray), perception (robotics/autonomous agents).</li><li>Experience prototyping, experimenting, and testing with large scale datasets and training deep models.</li><li>Experience with standard machine learning frameworks and tools (NumPy, Scikit-learn, Pandas, Pytorch, TensorFlow, etc.) and machine learning cloud infrastructure and accelerators (AWS, Google Cloud, GPUs and TPUs).</li><li>Strong technical communication skills and the ability to work in a fast-paced environment.</li><li>Experience with developing robust software with excellent coding hygiene and modular design.</li><li>The position involves working with problems with no off-the-shelf solutions and requires innovation on-the-fly. Typically a Ph.D. in machine learning or a related area with good publication history would be a good fit for this position. We would also love to hear from people with similar skill sets acquired through other career paths.</li></ul></div>
#J-18808-Ljbffr

<p><p>As an Applied Research Scientist, you will innovate and translate cutting edge research into user experiences. We’re looking for a talented researcher to join the team to work on foundational multimodal problems with the focus on data development techniques. </p><h3><strong>Main Responsibilities </strong> </h3><ul><li>Establish and empirically demonstrate the state-of-the-art approaches for data-centric model iteration and analysis </li><li>Prototype end-to-end workflows with novel techniques and algorithms, synthesize results, and help to transfer learnings into Snorkel products </li><li>Work closely with design partners to validate your work on real-world use cases with measurable impact </li><li>Contribute to novel research on topics of interest to Snorkel AI by collaborating with other Snorkel Research scientists and affiliate scientists (academic, government, and industry researchers) </li><li>Work a hybrid schedule in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays </li> </ul><h3><strong>Preferred Qualifications </strong> </h3><ul><li>PhD + 2+ YOE working on applied research on Computer Vision tasks </li><li>Experience with 3D Computer vision </li><li>Experience handling large scale medical imaging datasets including CT-Scan or robotics LiDAR datasets. </li><li>Experience in delivering one or more of these domains: Large vision language models, visual question answering, image-text alignment, text to image, text to video, text to motion, image to video, image captioning, activity/action recognition, Augmented and Virtual reality, object detection, semantic segmentation, depth estimation, trajectory prediction, pose estimation, keypoint detection and tracking, medical vision (MRI, CT-Scan, X-ray), perception (robotics/autonomous agents). </li><li>Experience prototyping, experimenting, and testing with large scale datasets and training deep models. </li><li>Experience with standard machine learning frameworks and tools (NumPy, Scikit-learn, Pandas, Pytorch, TensorFlow, etc.) and machine learning cloud infrastructure and accelerators (AWS, Google Cloud, GPUs and TPUs). </li><li>Strong technical communication skills and the ability to work in a fast-paced environment. </li><li>Experience with developing robust software with excellent coding hygiene and modular design. </li><li>The position involves working with problems with no off-the-shelf solutions and requires innovation on-the-fly. Typically a Ph.D. in machine learning or a related area with good publication history would be a good fit for this position. We would also love to hear from people with similar skill sets acquired through other career paths. </li> </ul> </p>#J-18808-Ljbffr

<p> Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time.  </p><p> Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics  </p><p><b><strong>Position </strong> </b> </p><p> Dyna Robotics is seeking an innovative AI Research Engineer to spearhead the design and development of cutting-edge AI models for dexterous robotic manipulation—a critical pillar in driving our go-to-market applications and advancing our vision of adaptable, multi-functional robots. In this role, you’ll own the entire AI model lifecycle, from data acquisition and preprocessing through to deployment and real-world performance optimization. Your expertise will play a pivotal role in shaping Dyna Robotics' immediate product milestones and establishing a distinct competitive edge in the robotics industry.  </p><h3><b><strong>Key Responsibilities </strong> </b> </h3><ul><li> Conduct research and develop novel AI models focused on robotic manipulation  </li><li> Design and implement scalable data infrastructure to accelerate model and algorithm iteration  </li><li> Collaborate with cross-functional teams to enhance the capabilities of robotic manipulation systems  </li><li> Develop and deploy reliable, high-quality robotic software solutions  </li><li> Establish and monitor metrics to evaluate and improve model performance  </li> </ul><h3><b><strong>Qualifications </strong> </b> </h3><ul><li> Master’s degree or higher in Computer Science, Robotics, or a related field, or equivalent practical experience  </li><li> At least 3 years of experience in AI and robotics engineering  </li><li> Proven experience in building end-to-end robotic learning solutions, from data collection to model deployment  </li><li> Deep understanding of robot learning methods, such as reinforcement learning, imitation learning, variational autoencoders (VAEs), and diffusion models  </li><li> Proficiency in large-scale data processing and pipeline creation  </li><li> Knowledge of data integrity challenges and solutions  </li><li> Strong foundation in Computer Science fundamentals (e.g., operating systems, databases, networking)  </li><li> Experience with infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform.  </li><li> Expertise in Python and proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX)  </li><li> Passion for robotics and advancing robotic products  </li><li> Excellent analytical and problem-solving skills  </li><li> Adaptability to perform tasks necessary to ensure model or algorithm success in real-world applications  </li> </ul><h3><b><strong>Preferred Qualifications </strong> </b> </h3><ul><li> Experience with multi-modal foundation models  </li><li> High levels of creativity, productivity, and autonomy in research  </li><li> Familiarity with robotic simulation platforms such as MuJoCo, NVIDIA Isaac, or Drake  </li> </ul>#J-18808-Ljbffr

We help make autonomous technologies more efficient, safer, and accessible.

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

You will:

You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:
Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
You have:     A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Comfort operating in a fast-paced environment to deliver customer projects
Introspection, thoughtfulness, and detail-orientation
Experience working with neural networks, Tensorflow and/or PyTorch
Fluency in Python and working knowledge of C/C++ programing
A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
Master's or Ph.D. in a related field and/or 5+ years of experience in a related field
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.

We offer:     Competitive health insurance options
401K plan management
Remote-friendly and flexible team culture
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

Scion Staffing has been engaged to conduct an immediate search for an experienced  LLM Research Engineer  for our client, a private equity firm in  Redwood City, CA !

This is a fantastic opportunity to join a dedicated team of research professionals seeking to develop an on-device personalized AI model that's capable of real-time learning based on user input!

What they offer:

$300-400k per year starting salary
Health, Vision, Dental benefits
401k plan
Life insurance
Maternity / paternity leave
Vacation and Paid-Time off
What you will be doing:    Leading a team in cutting edge research and authoring high impact papers on long-term memory
Training an external memory model alongside a "parameter-frozen" LLMs
Identifying original facts in LLM features for localized parameter updates
Exploring new AI model structures beyond transformers to better utilize long-term memory and train personalized models
What you will need:    PhD in Computer Science, Artificial Intelligence, or equivalent
Bilingual in Mandarin

Interested?

Contact Scion Staffing today for more information by submitting your resume directly through this posting. We look forward to reviewing your background and discussing this exciting opportunity further!

About our firm:

Scion Staffing is a national award-winning staffing firm! Since 2006, we have had the pleasure of successfully placing thousands of talented candidates with amazing opportunities. Through our innovative team building and recruiting solutions, we bridge the gap in executive leadership searches, direct hire technical recruiting, interim leadership placement and temporary professional staffing. Our track record and recruitment process has made us one of the top recruitment firms in the nation.

We are proud to be part of the  Forbes  lists of the Best Recruitment Firms and the Best Executive Search Firms in America. Additionally, Scion has been recognized as a  ClearlyRated  Best of Staffing firm as well as a top recruitment firm by  The Business Times ! More information about us can also be found at www.scionstaffing.com.

Scion Staffing, Inc. is an equal opportunity employer and service provider and does not discriminate on the basis of race, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation or belief, or any other protected class. We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and for the candidates we represent. We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and for the candidates we represent. For opportunities located in a region that have enacted fair chance, arrest or conviction-based employment ordinances, Scion Staffing proactively follows the enacted guidance and considers for employment all qualifiedapplications with arrest and conviction records. We believe in following best practices and considering all qualified applicants that apply with us.

<p><strong>We help make autonomous technologies more efficient, safer, and accessible.</strong></p><p>Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.</p><p>Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.</p><h3>You will:</h3><p>You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:</p><ul><li>Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale.</li><li>Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole.</li><li>Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms.</li></ul><h3>You have:</h3><ul><li>A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!</li><li>Comfort operating in a fast-paced environment to deliver customer projects.</li><li>Introspection, thoughtfulness, and detail-orientation.</li><li>Experience working with neural networks, Tensorflow and/or PyTorch.</li><li>Fluency in Python and working knowledge of C/C++ programming.</li><li>A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry.</li><li>Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field.</li></ul><p>The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.</p><h3>We offer:</h3><ul><li>Competitive health insurance options.</li><li>Remote-friendly and flexible team culture.</li><li>Free lunch and fully-stocked kitchen in our South Bay office.</li><li>Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale.</li><li>The opportunity to work on one of the most interesting, impactful problems of the decade.</li></ul><p>Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</p>
#J-18808-Ljbffr

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Our vision is to build the future of science by advancing biomedical research and leveraging advances in AI. Over the next 10 years, we're working to understand the mysteries of the cell, which we believe will lead to discoveries that will change medicine in the decades that follow. We'll use emerging tools, methods, and models to make new discoveries and spur the translation of basic science into groundbreaking treatments and therapies.

CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.
The Opportunity

The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.

As an Engineer on the AI/ML team you will apply and optimize state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI's mission. You will be expected to be familiar and willing to push the boundaries of generative AI tools for scientific discovery. You will work as part of a team responsible for developing and deploying (Gen-) AI models that use data developed by CZI and research partners all for the purpose of contributing to greater understanding of human cell function and AI for science. You will interface with our AI cluster infrastructure team to build and maintain world class AI modeling capabilities. You will have the opportunity to work closely with teams of scientists, computational biologists, engineers within CZI and to collaborate with CZI grantees, with CZ institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by CZ teams and collaborators. Scientific focus areas could include literature agents, models for single cell biology, imaging, genomics, and proteomics.
What You'll Do

Work with the Research Scientists, iterate on, optimize, deploy, and maintain large-scale machine learning models, systems, and software tools that enable the analysis and interpretation of complex biology data sets and natural language.
Work with the team on building, deploying, maintaining AI agents for science
Work with the cross-functional team members to quickly iterate on system performance and scaling to meet/stay ahead of users' needs -
Build, train, and evaluate multimodal foundation models utilizing CZI's 1000xH100 GPU compute cluster and distributed training infrastructure.
Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography, scientific literature, and more.
May be involved in data pipelining work to clean, manage, and version data to ensure that the Research Scientist has access to reproducible data.
Serve as an interface to product teams to understand how models may need to evolve to support multiple use cases.
Interact with the community through open science practices
What You'll Bring
Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners in leading-edge cell biology data-driven research.
Proven track record in developing AI/ML models for large-scale clusters (CPUs and GPUs) and distributing computational load across multiple nodes to optimize performance.
Knowledge of deploying models for both batch and real-time (endpoint) inference
Experience in fine-tuning and/or pre-training large models with optimized code to maximize hardware utilizationA good working knowledge of Python-based ML libraries and frameworks such as PyTorch, TensorFlow, NumPy, Pandas, and Scikit-learn.
Nice to have: familiarity/ability with lower level languages like Rust, C++ (i.e. to modify CUDA kernels if necessary)
Ability to expand core pieces of AI software libraries (pytorch, (Num)pyro, etc.) or build new ones if necessary
Expertise in using modern frameworks for distributed computing and infrastructure management, particularly as related to ML models, (e.g Ray, High Performance Compute (HPC), Distributed PyTorch, etc)
Have a Masters or Ph.D in computer science with a focus on machine learning & data analytics, or equivalent industry experience and at least 5 years of experience developing and applying machine learning methods.
A good working knowledge of general software engineering practices in a production environment. Including experience with control systems like Git and containerization technologies like Docker and Kubernetes.
The ability to work independently and as part of a team, and have excellent communication and interpersonal skills.
Compensation

The Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.
Benefits for the Whole You

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!
Commitment to Diversity

We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts.

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#LI-Hybrid

Research Engineer Jobs in Redwood City, CA

Ai Research Engineer
December 19, 2024

Ai Research Engineer
December 11, 2024

Research Engineer Computer Vision Hybrid Redwood City Ca
December 11, 2024

Research Engineer Computer Vision Hybrid Redwood City Ca
December 9, 2024

Ai Research Engineer
December 9, 2024

Research Engineer
December 8, 2024

Llm Research Engineer
December 8, 2024

Research Engineer
December 7, 2024

Senior Aiml Research Engineer Genai
December 3, 2024

Quick filters

Top companies

Research Engineer Jobs in Redwood City, CA

Ai Research EngineerDecember 19, 2024

Ai Research EngineerDecember 11, 2024

Research Engineer Computer Vision Hybrid Redwood City CaDecember 11, 2024

Research Engineer Computer Vision Hybrid Redwood City CaDecember 9, 2024

Ai Research EngineerDecember 9, 2024

Research EngineerDecember 8, 2024

Llm Research EngineerDecember 8, 2024

Research EngineerDecember 7, 2024

Senior Aiml Research Engineer GenaiDecember 3, 2024