Senior Machine Learning Engineer - Moonshot AI
Uber
Sunnyvale, CA$202,000 - $224,000 a yearFull Time
Job Description
About the role
Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.
We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc..
In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space.
What the candidate will do:
Identify and choose the right problems that will benefit from ML expertise.
Design and develop a suite of ML models that will help solve the above problems.
Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms.
Explore novel ideas and innovative solutions that can lead to a step change in our products
Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly.
Write clean, modular, and maintainable code.
Conduct code reviews and ensure high code quality standards.
Keep up to date with the latest ML technologies and best practices.
Basic Qualifications
Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
Demonstrated experience developing, training, and deploying ML models to production
Strong expertise in one or more areas: Computer Vision, Natural Language Processing, Deep Learning, or Generative AI (LLMs, diffusion models, multimodal systems)
Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages (Python, Go, Java, or C++)
Strong analytical and problem-solving abilities with proven collaborative teamwork skills
Preferred Qualifications
Master's or Ph.D. in Computer Science, Machine Learning, or related field
5+ years of industry experience in ML/AI building production systems
Experience with LLM fine-tuning techniques, prompt engineering, and building RAG systems
Track record training large models on distributed infrastructure
Hands-on experience with model serving, A/B testing, and ML platform toolingBackground in marketplace optimization, recommendation systems, or multi-armed bandit algorithms
Publications or research contributions in AI/ML conferences or journals
Experience with SQL and distributed data systems
Proven ability to rapidly prototype and iterate, demonstrating curiosity and an experimental mindset
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.
We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc..
In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space.
What the candidate will do:
Identify and choose the right problems that will benefit from ML expertise.
Design and develop a suite of ML models that will help solve the above problems.
Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms.
Explore novel ideas and innovative solutions that can lead to a step change in our products
Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly.
Write clean, modular, and maintainable code.
Conduct code reviews and ensure high code quality standards.
Keep up to date with the latest ML technologies and best practices.
Basic Qualifications
Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
Demonstrated experience developing, training, and deploying ML models to production
Strong expertise in one or more areas: Computer Vision, Natural Language Processing, Deep Learning, or Generative AI (LLMs, diffusion models, multimodal systems)
Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages (Python, Go, Java, or C++)
Strong analytical and problem-solving abilities with proven collaborative teamwork skills
Preferred Qualifications
Master's or Ph.D. in Computer Science, Machine Learning, or related field
5+ years of industry experience in ML/AI building production systems
Experience with LLM fine-tuning techniques, prompt engineering, and building RAG systems
Track record training large models on distributed infrastructure
Hands-on experience with model serving, A/B testing, and ML platform toolingBackground in marketplace optimization, recommendation systems, or multi-armed bandit algorithms
Publications or research contributions in AI/ML conferences or journals
Experience with SQL and distributed data systems
Proven ability to rapidly prototype and iterate, demonstrating curiosity and an experimental mindset
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.