<h5>Join a leading fintech company thats democratizing finance for all.</h5> Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is 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. As we continue to build... Were 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 youre invigorated by our mission, values, and drive to change the world wed love to have you apply. <h5>About the team + role </h5> We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance at an unprecedented pace. In this role, you'll play a key part in Robinhoods forward trajectory, collaborating closely with our adept Data Science and Engineering teams. The Gen AI team is devoted to bridging the transition of Gen AI & ML modeling work into production-grade applications. Robinhood operates at the intersection of data-driven insights and technological innovation. 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. <h5>What you'll do</h5> In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. Your key responsibilities will include: <ul> <li>Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy.</li> <li>Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment.</li> <li>Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models.</li> <li>Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.</li> <li>Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.</li> <li>GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks.</li> <li>Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship.</li> <li>Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization.</li> </ul> <h5>What you bring</h5> <ul> <li>Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.</li> <li>Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.</li> <li>Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters.</li> <li>Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.</li> <li>Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.</li> <li>Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.</li> <li>Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.</li> </ul> <h5>What we offer</h5> <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> 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 Robinhoods 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) $187,000$220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000$194,000 USD Zone 3 (Lake Mary, FL) $146,000$172,000 USD Click here to learn more about Robinhoods Benefits. Were looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If youre ready to give 100% in helping us achieve our missionwed 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. To review Robinhood's Privacy Policy please review the specific policy applicable to the country where you are applying.

<h5>Join a leading fintech company thats democratizing finance for all.</h5> Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is 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. As we continue to build... Were 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 youre invigorated by our mission, values, and drive to change the world wed love to have you apply. <h5>About the team + role</h5> We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance at an unprecedented pace. In this role, you'll play a key part in Robinhoods forward trajectory, collaborating closely with our adept Data Science and Engineering teams. The Gen AI team is devoted to bridging the transition of Gen AI & ML modeling work into production-grade applications. Robinhood operates at the intersection of data-driven insights and technological innovation. 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. <h5>What you'll do</h5> In your role as a Staff Machine Learning Engineer, you will focus on the highest-impact, org-wide applications of LLMs to accelerate the companys mission. Your key responsibilities will include: <ul> <li>Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance, accuracy, reliability and safety. </li> <li>Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment.</li> <li>Integration of State-of-the-art GenAI agents: Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models. You are also able to design and implement novel extensions using the paradigms of Reinforcement Learning and self-play. </li> <li>Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training for the purposes of finetuning and model distillation. </li> <li>Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.</li> <li>GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks.</li> <li>Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship.</li> <li>Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization. <h5>What you bring</h5> <ul> <li>Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.</li> <li>Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.</li> <li>Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters.</li> <li>Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.</li> <li>Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.</li> <li>Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.</li> <li>Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.</li> </ul> <h5>What we offer</h5> <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 benefit</li> </ul> </li> </ul> 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 Robinhoods 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 Robinhoods Benefits. Were looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If youre ready to give 100% in helping us achieve our missionwed 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. To review Robinhood's Privacy Policy please review the specific policy applicable to the country where you are applying.

Join a leading fintech company that's democratizing finance for all. Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is 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. As we continue to build... We're 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 Insights from data power most decisions at Robinhood and our company trajectory is defined by the systems, tools, and analytics powered by this exceptional team. As a Senior Machine Learning Engineer working on Fraud, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business. Robinhood faces unique data challenges with a focus on integrating complex data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behaviour and the risks to our business. We are looking for experienced Machine Learning Engineers to help detect and reduce risk to Robinhood - a crucial role to our business and customers. The ideal candidate is passionate about understanding the different fraud vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood. What you'll do <ul><li>Combining knowledge of several research domains to improve our understanding of different risks to Robinhood and help power decisions</li><li>Designing new machine learning systems to power the fraud prevention and risk reduction efforts at Robinhood especially in product areas</li><li>Build production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques.</li><li>Collaborate with the rest of the data team and partner marketing, product, content, design teams to build data solutions and products to drive user and revenue growth. </li><li>Work with cross-functional teams to implement insights and analytical solutions to empower data-driven decision making.</li><li>Problem solving skills and a can-do attitude to dive deep into data to solve business problems</li></ul>What you bring <ul><li>5+ years of applied ML experience productionizing ML models with 2+ years focused on fraud.</li><li>Familiarity with fraud domains and banking processes, including account takeover, ACH fraud, debit/credit card fraud, first-party fraud, and synthetic identity fraud.</li><li>Demonstrated expertise in building and deploying fraud models using large datasets, with a strong track record of success in fraud detection and prevention.</li><li>Knowledge of model risk governance and experience collaborating with model validation teams to ensure compliance with regulatory requirements.</li><li>Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering or natural sciences (or equivalent research experience)</li><li>Solid understanding of unsupervised learning, statistical analysis and machine learning algorithms for imbalanced datasets.</li><li>Experience communicating data driven insights</li><li>Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.</li><li>Proficiency in Python, SQL, pandas, PyTorch, or TensorFlow.</li><li>Experience with Spark, Kafka, and Kubernetes is also desirable.</li></ul> 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) $187,000-$220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000-$194,000 USD Zone 3 (Lake Mary, FL) $146,000-$172,000 USD Click here to learn more about Robinhood's Benefits. 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. To review Robinhood's Privacy Policy please review the specific policy applicable to the country where you are applying.

Machine Learning Engineer Robinhood Jobs

Senior Machine Learning Engineer
May 30, 2024

Staff Machine Learning Engineer
May 30, 2024

Staff Machine Learning Engineer
May 29, 2024

Senior Machine Learning Engineer
May 19, 2024

Senior Machine Learning Engineer Fraud
May 14, 2024

Staff Machine Learning Engineer Generative Ai
May 8, 2024

Senior Machine Learning Engineer
May 4, 2024

Senior Machine Learning Engineer Fraud
May 4, 2024

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Machine Learning Engineer Robinhood Jobs

Senior Machine Learning EngineerMay 30, 2024

Staff Machine Learning EngineerMay 30, 2024

Staff Machine Learning EngineerMay 29, 2024

Senior Machine Learning EngineerMay 19, 2024

Senior Machine Learning Engineer FraudMay 14, 2024

Staff Machine Learning Engineer Generative AiMay 8, 2024

Senior Machine Learning EngineerMay 4, 2024

Senior Machine Learning Engineer FraudMay 4, 2024