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
We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance forl all at an unprecedented pace.
In this role, you'll play a key part in Robinhood’s 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.
What you’ll do
In your role as a 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:
- Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy.
- Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment.
- Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models.
- Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
- Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.
- GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks.
- Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship.
- Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization.
What you bring
- Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
- Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.
- Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters.
- Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.
- Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.
- Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.
- Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.
Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.
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.
What We Do
Robinhood was founded on a simple idea—that our financial markets should be accessible to all. In an industry where barriers have prevailed for too long, this hasn’t always been easy. We’re leveling the playing field by making trading more intuitive, more affordable, and more inclusive to ensure that everyone, regardless of wealth or industry knowledge, feels empowered to participate in the financial system.
Full Disclosures: rbnhd.co/social_media_disclosures
Why Work With Us
Robinhood looks to hire employees who embody a high-growth mindset, set ambitious goals, make decisions independently, and who show up as accountable. The work moves fast, and resilience is key. Maintaining grit, perseverance, and self-motivation are critical to an employee's success at Robinhood, but so is staying humble and sharing credit.
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