Staff Machine Learning Engineer, Supply

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $275k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Lime

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

📦 Logistics

💼 Consulting

✈️ Travel

💰 $418M Convertible Note on 2021-11

Logistics • Consulting • Travel

Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.

📋 Description

• Define 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 • Ensure ML initiatives align with business goals • Act as the primary technical decision-maker, setting architecture, modeling approaches, and engineering standards • Mentor and develop engineers • Partner with product and operations leadership to shape strategy and prioritize investments • Establish best practices for ML development, deployment, monitoring, and iteration at scale • Identify and drive high-leverage opportunities while balancing short-term impact with long-term platform and modeling investments • Contribute hands-on to critical parts of the codebase • Write clean, maintainable, well-tested code using AI-assisted development workflows while maintaining validation, security, and ownership standards • Translate ambiguous, high-stakes mobility problems into executable strategies and plans • Guide engineers to deliver scalable, high-impact systems influencing supply and fleet optimization for Lime’s shared micromobility business

🎯 Requirements

• 7+ years of experience in software engineering and machine learning • Track record of leading large, complex ML systems in production • Experience acting as a technical lead or de facto team lead • Experience driving projects across multiple engineers and stakeholders • Strong system design skills • Experience architecting scalable ML systems, data pipelines, and real-time or batch inference systems • Ability to translate ambiguous business problems into clear technical strategies and deliver measurable impact • Experience mentoring and developing engineers • Strong coding skills in Python • Experience with modern ML frameworks such as PyTorch and TensorFlow • Experience with data tools such as SQL and Spark • Experience using AI-assisted development tools for coding, debugging, testing, documentation, technical exploration, and analysis • Ability to validate AI-assisted outputs, identify risks and failure modes, protect sensitive information, and determine when deeper manual review is required • Preferred: experience owning or leading ML platforms or systems at company or org-wide scale • Preferred: background in time-series modeling, forecasting, optimization, or operations research applied to real-world systems • Preferred: familiarity with experimentation frameworks, causal inference, and decision-making under uncertainty • Candidates must reside in and work remotely from the United States

🏖️ Benefits

• A choice of medical, dental, and vision plans • Company-paid life and disability insurance • Company-funded mental health benefits • 401(k) plan with pre-tax and Roth options • Health Savings Account (HSA) with monthly company contribution • Paid parental leave for birthing and non-birthing parents • Fertility and family-forming benefits • Unlimited vacation • Paid leaves • 10 company holidays • Complimentary use of Lime vehicles in participating cities • Monthly phone allowance • Dedicated learning and development days • Access to One Medical, Wellhub, and Headspace • Discretionary annual performance bonus opportunities • Equity, subject to applicable plan terms and eligibility requirements