Staff Machine Learning Engineer, Supply

LimeBike Germany GmbH; Northern (KY); Hybrid; USD 150,000 - 240,000; Full time

Benefits offered by this job

Comprehensive Health & Wellness

401(k) plan

Parental leave

Unlimited vacation

Lime vehicle perks

Job summary

Lime is seeking a Staff Machine Learning Engineer to lead ML systems for forecasting, supply positioning, and fleet optimization. You will own the technical vision, drive cross-functional ML projects, and set architecture and standards while mentoring engineers across the team.

You will collaborate with product and operations to translate business problems into scalable ML solutions, ensuring high impact and robust deployment practices across our remote work environment in the United States.

Qualifications

• 7+ years of experience in software engineering and machine learning.
• Strong system design skills for scalable ML systems.
• Proven ability to translate ambiguous problems into technical strategy.
• Experience mentoring and developing engineers.

Responsibilities

• Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
• Lead end-to-end execution of cross-functional ML initiatives from problem framing to production impact.
• Define architecture, modeling approaches, and engineering standards for ML platforms.
• Mentor engineers and raise team performance.
• Partner with product and operations to prioritize investments and ensure measurable outcomes.

Skills

Python

Machine learning

Leadership

Tools

PyTorch

TensorFlow

SQL

Spark

Job description

Lime is the largest global shared micromobility business. We operate shared e-bikes and e-scooters in nearly 30 countries on five continents. Our mission is to build a future where transportation is shared, affordable and carbon-free.

Since 2017, our riders have taken over 750 million trips, replacing an estimated 150+ million car trips and preventing an estimated 77+ million kgs of carbon emissions.

Join the Lime team as we accelerate into a new era of sustainable alternatives to car ownership and improve access for people in cities around the world.

When you join Lime, you join a global community of smart, caring, talented individuals working together to deliver world-changing results; striving to create an experience that enables Limers to do their best work. Here are some ways we support and invest in our team:

Competitive salaries, performance-based annual bonus and pre-IPO equity

Health and wellness offerings for all team members starting day one including access to top-tier fitness and mindfulness apps

Flexible vacation policies with ample paid holidays tailored to country of residence

Fully-paid leave following the birth or adoption of a child and financial, medical and educational support for Limers pursuing parenthood

Support for retirement and financial goals with unlimited access to financial advisors

Unlimited, complimentary use of our vehicles in hundreds of cities around the world

Professional growth opportunities through quarterly learning days and top-tier tools

Opportunities to connect across teams and locations to network, socialize and volunteer

Culture of belonging with Employee Resource Groups that engage and promote cultural awareness and DEI training across all functions

Consistent recognition of great work through meaningful rewards and career advancements

Benefits and perks vary depending on the nature of your employment and country of residence. Terms and conditions may apply.

Important Notice: Recruitment Transparency

Please be advised that Lime never charges candidates any fees (including application, processing, training, or onboarding costs) at any stage of the recruitment or new hire process. All costs associated with hiring are borne entirely by Lime.

Protect Yourself from Recruitment Scams

We are aware of increasing scams where individuals impersonate organizations to solicit money or sensitive data. To ensure you are speaking with a legitimate representative of our team, please note:

• Official Communication: All hiring-related communications are filtered through our internal Talent Acquisition team.
• Verified Domain: Our recruiters will only contact you from an email address ending in @li.me OR @ext.li.me
• Red Flags: If you receive a request for payment, banking information, or personal financial details as part of a job application, please treat it as fraudulent and report it to [e-mail] .

Win together.

We’re all on this ride, together. We put the company’s interests ahead of our market, and our function. We speak up, ask difficult questions and suggest solutions for the good of all. We compete externally, not internally.

Obsess about our customers.

We innovate on behalf of our customers - riders, cities, and operators - and strive to understand them on a local level. We walk in their shoes and seek new ways to delight them.

We act as owners. We succeed by making disciplined investments and smart financial choices. We recognize that constraints drive creativity.

Raise the bar.

We consistently deliver top results. Yesterday’s wins are tomorrow’s expectations. We are always innovating to achieve the impossible and set a new precedent.

We seek out different perspectives, life experiences, and ideas because diversity makes our work and teams better. We create an inclusive environment where everyone can be themselves.

Build great teams.

We develop top talent because they are foundational to Lime’s success. We treat every new hire, promotion, and performance conversation as an opportunity to cultivate strong teams.

See clearly, with optimism.

We are clear-eyed about our challenges, and know that with planning, team work, and execution, we can tackle anything.

Challenge because we care.

We are direct and honest with one another, and seek truth over personal victory. We lead with curiosity and listen with an open mind.

Boldly commit.

We encourage debate, but once a decision is made, we commit fully by doing everything we can to achieve our goal.

Our Employee Resource Groups (ERGs)

Feeling accepted, celebrated, and supported comes standard when you work at Lime. Our Employee Resource Groups bring us together based on shared experiences.

"We encourage our teams to expand our knowledge, gain awareness and develop new skills, as we grow. Our goals can only be achieved through a truly diverse and inclusive workforce, where everyone feels valued and where you can bring your full self to work." - Wayne Ting, CEO

Staff Machine Learning Engineer, Supply

Location

United States

Employment Type

Full time

Location Type

Remote

Department

As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me .

At Lime, our mission is to ensure a scooter or bike is ready for you at the right place and the right time. Achieving this requires solving one of the most complex optimization problems in mobility: how to deploy and continually rebalance vehicles across a dynamic, ever-changing city. The Supply Machine Learning team is central to this mission, building forecasts, recommending deployment strategies, and creating models that directly influence millions of rides worldwide.

As a Staff Machine Learning Engineer, you will serve as the technical leader for Lime’s ML-powered Supply & Fleet Optimization Systems. You will define the long-term technical direction, lead execution across multiple ML initiatives, and ensure we are building scalable, high-impact systems that drive business outcomes. This role combines deep technical expertise with strong ownership and mentorship, acting as a force multiplier for the team. We are looking for engineers who thoughtfully integrate modern AI tools into their work: using them to raise quality, solve problems and move faster while maintaining strong engineering judgment and ownership.

You’ll partner closely with product, operations, and engineering leadership to translate ambiguous, high‑stakes problems into clear strategies and executable plans, while guiding a team of engineers to deliver at a high bar.

This is a remote position with a requirement for candidates to reside in the United States to maintain effective collaboration across teams.

What You’ll Do:

Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.

Lead end‑to‑end execution of complex, cross‑functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.

Act as the primary technical decision‑maker for the team, setting architecture, modeling approaches, and engineering standards.

Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.

Partner with product and operations leadership to shape strategy, prioritize investments, and ensure ML solutions drive measurable outcomes.

Establish best practices for ML development, deployment, monitoring, and iteration at scale.

Identify and drive high‑leverage opportunities, balancing short‑term impact with long‑term platform and modeling investments.

Serve as a hands‑on technical leader, contributing to critical parts of the codebase while enabling others to execute effectively.

Write clean, maintainable, well‑tested code by thoughtfully leveraging AI‑assisted development workflows to improve quality and efficiency while maintaining high standards for validation, security, and ownership.

About You:

7+ years of experience in software engineering and machine learning, with a track record of leading large, complex ML systems in production.

Demonstrated experience acting as a technical lead or de facto team lead, driving projects across multiple engineers and stakeholders.

Strong system design skills, including architecture of scalable ML systems, data pipelines, and real‑time or batch inference systems.

Proven ability to translate ambiguous business problems into clear technical strategies and deliver measurable impact.

Experience mentoring and developing engineers, with a track record of raising team performance and influencing engineering culture.

Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark).

Experience using AI‑assisted development tools to support coding, debugging, testing, documentation, technical exploration, and analysis.

Ability to validate AI‑assisted outputs, identifying risks and failure modes, protecting sensitive information, and knowing when deeper manual review is required.

Preferred Experience:

Experience owning or leading ML platforms or systems at company or org‑wide scale.

Background in time‑series modeling, forecasting, optimization, or operations research applied to real‑world systems.

Familiarity with experimentation frameworks, causal inference, and decision‑making under uncertainty.

U.S. Based Position - What We Offer:

Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company‑paid life and disability insurance and company‑funded mental health benefits.

Financial & Retirement Planning: 401(k) plan with both pre‑tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution.

Family & Fertility Support: Paid parental leave for birthing and non‑birthing parents, plus fertility and family‑forming benefits.

Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays.

Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace.

The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

Lime considers all qualified applicants for employment, including those with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and all other applicable federal, state, and local laws.

Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email [e-mail] for assistance.