Machine Learning Engineer

Energy Innovation Corp; San Jose (CA); On-site; USD 86,000 - 132,000; Full time

Benefits offered by this job

Commuter benefits

Mentor matched to your technology Ambs

Job summary

McDonalds is seeking a Machine Learning Engineer in San Jose to develop and deploy Reinforcement Learning solutions, leveraging LightGBM and modern data pipelines. The role focuses on delivering impactful ML features and mentoring junior teammates.

You will work with stakeholders to translate data into strategic decisions, drive project ownership, and help modernize our ML infrastructure within the San Jose team.

Qualifications

• 1+ years of Reinforcement Learning experience.
• Experience mentoring or guiding junior teammates.
• Strong ability to translate data into actionable decisions.

Responsibilities

• Read stack traces and trace bugs to root cause.
• Explain coaching tradeoffs to executives.
• Apply ML and reinforcement learning to real-world problems.
• Deliver RL rewrite to reduce technical debt.
• Collaborate with cross-functional partners on projects.
• Lead written communications for leadership review.
• Oversee migration of legacy systems to modern stack.

Skills

Reinforcement Learning

LightGBM

Mentoring

Storytelling with data

Communication

Problem solving

Tools

Kafka

LightGBM tooling

Job description

You've debugged enough LightGBM to develop opinions, and McDonalds has a Machine Learning Engineer role in San Jose where opinions are currency. We're looking for 1+ years of Reinforcement Learning; in return you'll get $86,000 - $132,000, ownership, and a team worth joining.

Key Responsibilities

• Read the LightGBM stack traces others skim past, and trace bugs to their root
• Walk technology stakeholders through Coaching tradeoffs in language McDonalds execs grasp
• Apply Statistical Modeling and Reinforcement Learning to solve tinker-friendly engineering challenges
• Ship the Reinforcement Learning human-first rewrite that pays down years of McDonalds technical debt
• Pair with cross-functional partners to scope and deliver freelance projects
• Own the Written Communication release that San Jose leadership has circled on the calendar
• Lead the Written Communication migration that finally retires McDonalds's nimble legacy stack

What You'll Bring

• Demonstrated capacity to mentor or support junior teammates
• Hands-on experience with modern Kafka workflows and tooling
• The reliability that lets a manager stop checking in
• Storytelling instincts that turn data into a decision
• Demonstrated ability to teach what you know to someone greener
• Strong working knowledge of Reinforcement Learning and LightGBM

McDonalds builds mentorship-focused technology software that helps teams across San Jose, CA move faster and worry less. Our San Jose team treats every retro like a chance to quietly upgrade how we operate.

Here in San Jose, you'll enjoy $86,000 - $132,000, commuter benefits, and a mentor matched to your technology ambitions.

Re-confirmed open this morning, the junior seat at McDonalds stays available.