S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Principal Machine Learning Engineer
XX
Principal Machine Learning EngineerLimeBike Germany GmbH • United States
Postuler Maintenant
XX

Principal Machine Learning Engineer

LimeBike Germany GmbH
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

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.
Please note there are many scams taking place currently where individuals are impersonating organizations. We want to emphasize that any communications related to hiring at Lime are filtered through our Recruiting team. Our recruiters who contact you will always have an email address ending in @li.me.
How we Lime 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 their 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
Principal Machine Learning Engineer Location United States
Employment Type Full time
Location Type Remote
Department Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.
Lime is hiring a Principal Machine Learning Engineer to join the Data Science & Analytics team and build our Machine Learning Center of Excellence. In this role, you will be a senior individual contributor reporting to the Head of Data and partnering with senior software engineering leadership across Lime’s technology teams. This role will be responsible for shaping how machine learning is built, deployed, and operated across Lime. You will set technical direction and standards for ML infrastructure, featured development, and model lifecycle management. This role blends deep hands‑on work with significant cross-team leadership and influence.
This is a remote position with a requirement for candidates residing in the United States to maintain effective collaboration across teams.
What you’ll do
Drive alignment across teams on ML strategy, standards, and long-term technical direction by serving as a technical leader for Lime’s ML Center of Excellence
Guide recommendations for ML infrastructure, tooling, and architecture (training, serving, feature stores, experimentation, monitoring)
Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
Establish best practices for ML monitoring, observability, alerting, and model performance health in production
Drive reusable feature development patterns and shared ML capabilities that enable teams to move faster and more safely
Partner with platform, data, and product engineering teams to ensure ML systems are reliable, scalable, and cost effective
Identify and prioritize opportunities where ML will improve Lime’s product, operations, or efficiency
Act as a force multiplier by mentoring data scientists and machine learning engineers, raising the quality bar for machine learning across Lime
About you
8+ years of professional experience in software engineering or applied ML, with a record of delivering production level systems.
Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
Strong foundation in ML fundamentals, including model evaluation, experimentation, optimization, production deployment, and operations
Strong system design skills and comfort working with distributed systems
Track record of influencing ML architecture and practices across multiple teams
Preferred Experience
Background in domains relevant to Lime (e.g., forecasting, optimization, pricing, marketplace dynamics)
Prior experience building a ML platform or center of excellence through defining ML standards, governance, or shared tooling at scale
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.
If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
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 recruiting-operations@li.me for assistance.
#J-18808-Ljbffr
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.