W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.<h3>Job Overview</h3>Specialized Area: Machine learningJob Title: Machine Learning EngineerLocation: To Be Discussed LaterDuration: 8 MonthsEmployment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)<h3>Responsibilities</h3><ul><li>Previous experience with programming on multicore CPUs and vector cores is preferred.</li><li>Basic understanding of machine learning networks such as ResNet, ResNeXt.</li><li>Basic understanding of machine learning operators such as convolutions and fully connected layers.</li><li>Team player with excellent communication skills and desire to tackle challenging problems.</li><li>Experience with machine learning frameworks such as Caffe2 and Pytorch is a plus.</li><li>Understanding of general computer architecture is a plus.</li></ul>MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
#J-18808-Ljbffr

<h3>About the team + role</h3>
Robinhood stands at the crossroads of data-driven insights and technological innovation. As a Staff Machine Learning Engineer, you will work closely with application teams and AI practitioners to rapidly build, deploy, and iterate high-quality AI solutions at scale, ensuring both reliability and effectiveness. Your deep expertise in the machine learning model development cycle, along with a strong understanding of data pipelines, will be crucial in crafting a dependable and scalable infrastructure for all of Robinhood to rely on.
We are looking for a dedicated and ambitious individual to accelerate the development and expansion of AI-powered products. In this role, you will work closely with our applied machine learning, agentic AI, and data science teams to drive Robinhood's progress. You'll also play a key role in developing a centralized AI platform that supports agentic workflows and machine learning applications, ensuring seamless integration with Robinhood's existing systems. A strong grasp of AI and data infrastructure is essential, as you will provide strategic guidance to our partners in building their applications.
<h3>What you’ll do</h3>
<ul>
<li>Own and implement high-impact projects for our centralized AI platform with meticulous planning, ensuring quality work within remarkable timeframes.</li>
<li>Demonstrate technical leadership by providing guidance and expertise in agentic AI workflows, machine learning model development, and data pipelines.</li>
<li>Engage with technical leaders to refine and elevate Robinhood's AI development process through platform initiatives.</li>
<li>Drive the development to deployment of cross-functional AI products with exemplary system design skills and coding, ensuring technical excellence.</li>
<li>Simplify access to data needed to power AI applications, while ensuring security and governance.</li>
</ul>
<h3>What you bring</h3>
<ul>
<li>5+ years of hands-on involvement in top-tier ML platform, ML Ops, or ML infrastructure or data projects.</li>
<li>A fervent interest in exploring and applying AI and ML technologies.</li>
<li>Strive to solve sophisticated engineering problems that drive business objectives.</li>
<li>Solid technical foundation enabling active contribution to the design and execution of projects and ideas.</li>
<li>Practical experience with ML platform services like feature/embedding store, distributed training platform, and real-time inferencing service.</li>
<li>Strong communication skills and ability to write detailed technical specifications.</li>
<li>Proficiency in Python and/or Golang.</li>
<li>Experience with AWS Platform and databases, Spark, Ray, Kafka, and Flink is also desirable.</li>
</ul>
<h3>What we offer</h3>
<ul>
<li>Market competitive and pay equity-focused compensation structure.</li>
<li>100% paid health insurance for employees with 90% coverage for dependents.</li>
<li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li>
<li>Lifetime maximum benefit for family forming and fertility benefits.</li>
<li>Dedicated mental health support for employees and eligible dependents.</li>
<li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li>
<li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits.</li>
</ul>
#J-18808-Ljbffr

We are well funded Series A Startup with investments from the top VC in the AI space. We’re hiring a Machine Learning Engineer to join our team and contribute to our analytics platform, which empowers enterprises to query structured data using natural language. This platform utilizes a multi-agent framework and sophisticated large language models (LLMs) to transform complex data into accessible insights. As a Machine Learning Engineer, you’ll play a key role in developing new capabilities, working at the intersection of natural language processing, backend engineering, and data analytics. We are looking for someone with 1-5 years of production experience w/ startups. In this role, you will:<ul><li>Build and Deploy: Bring strong coding skills to the table, comparable to a backend engineer, with the ability to push code to production on a daily basis.</li><li>Work with Large Language Models: Use LLMs to drive innovative solutions, such as translating natural language questions into SQL queries, generating visualizations, and creating presentation materials.</li><li>Develop New Agents: The first project may involve designing a new agent to expand the platform’s functionality, working within a multi-agent framework to address varied use cases and deliver user-friendly features.</li><li>Collaborate with Stakeholders: Engage directly with customers and product leaders to understand data needs, conduct error analysis, and refine training datasets for optimal performance.</li></ul> Key Qualifications<ul><li>Experience Level: 1-3 years of experience in machine learning, with strong preference for candidates with a startup background who can thrive in a fast-paced, dynamic environment.</li><li>Technical Expertise:Proficiency in modern machine learning frameworks (e.g., PyTorch, TensorFlow, transformers) and a deep understanding of prompt engineering, model evaluation, and performance tuning.</li><li>Coding - Our stack is Python, Django, FastAPI, PostgreSQL, AWS, Docker, Kubernetes</li><li>Coding Skills: Ability to code at a backend engineering level, with experience in building and maintaining production data pipelines for machine learning applications.</li><li>Adaptability and Communication: Comfortable working in a collaborative environment with cross-functional teams, possessing strong technical communication skills.</li></ul>

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply. About the team + role Robinhood stands at the crossroads of data-driven insights and technological innovation. As a Staff Machine Learning Engineer, you will work closely with application teams and AI practitioners to rapidly build, deploy, and iterate high-quality AI solutions at scale, ensuring both reliability and effectiveness. Your deep expertise in the machine learning model development cycle, along with a strong understanding of data pipelines, will be crucial in crafting a dependable and scalable infrastructure for all of Robinhood to rely on. We are looking for a dedicated and ambitious individual to accelerate the development and expansion of AI-powered products. In this role, you will work closely with our applied machine learning, agentic AI, and data science teams to drive Robinhood's progress. You'll also play a key role in developing a centralized AI platform that supports agentic workflows and machine learning applications, ensuring seamless integration with Robinhood's existing systems. A strong grasp of AI and data infrastructure is essential, as you will provide strategic guidance to our partners in building their applications. The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. What you'll do <ul><li>Own and implement high-impact projects for our centralized AI platform with meticulous planning, ensuring quality work within remarkable timeframes</li><li>Demonstrate technical leadership by providing guidance and expertise in agentic AI workflows, machine learning model development and data pipelines</li><li>Engage with technical leaders to refine and elevate Robinhood's AI development process through platform initiatives</li><li>Drive the development to deployment of cross functional AI products with exemplary system design skills and coding, ensuring technical excellence</li><li>Simplify access to data needed to power AI applications, while ensuring security and governance</li></ul>What you bring <ul><li>5+ years of hands-on involvement in top-tier ML platform, ML Ops, or ML infrastructure or data projects.</li><li>A fervent interest in exploring and applying AI and ML technologies.</li><li>Strive to solve sophisticated engineering problems that drive business objectives.</li><li>Solid technical foundation enabling active contribution to the design and execution of projects and ideas.</li><li>Practical experience with ML platform services likefeature/embedding store, distributed training platform, and real-time inferencing service.</li><li>Strong communication skills and ability to write detailed technical specifications</li><li>Proficiency in Python and/or Golang</li><li>Experience with AWS Platform and databases, Spark, Ray, Kafka, and Flink is also desirable.</li></ul>What we offer <ul><li>Market competitive and pay equity-focused compensation structure</li><li>100% paid health insurance for employees with 90% coverage for dependents</li><li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li><li>Lifetime maximum benefit for family forming and fertility benefits</li><li>Dedicated mental health support for employees and eligible dependents</li><li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li><li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits</li></ul> We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. Please see the independent bias audit report covering our use of Covey here. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000-$255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $190,000-$224,000 USD Zone 3 (Lake Mary, FL) $169,000-$199,000 USD Click here to learn more about available Benefits, which vary by region and Robinhood entity. We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

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Machine Learning Engineer Jobs in Menlo Park, CA

Senior Machine Learning Engineer Applied MlNovember 19, 2024

Machine Learning EngineerNovember 13, 2024

Staff Machine Learning Engineer PlatformNovember 13, 2024

Senior Machine Learning Engineer Applied MlNovember 9, 2024

Machine Learning EngineerNovember 9, 2024

Senior Machine Learning Engineer Ml PlatformNovember 4, 2024

Senior Machine Learning Engineer Generative AiNovember 4, 2024

Staff Machine Learning Engineer PlatformOctober 29, 2024

Staff Machine Learning Engineer PlatformOctober 28, 2024