Staff Machine Learning Engineer, Supply

🕒 June 3

🇨🇦 Canada – Remote

💵 CA$172k - CA$237k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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. • Act as the primary technical decision-maker for the team. • Mentor and develop engineers, providing technical guidance. • Partner with product and operations leadership to shape strategy. • Establish best practices for ML development, deployment, monitoring, and iteration at scale. • Identify and drive high-leverage opportunities. • Serve as a hands-on technical leader, contributing to critical parts of the codebase.

🎯 Requirements

• 7+ years of experience in software engineering and machine learning • Demonstrated experience acting as a technical lead or de facto team lead • 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 • Experience mentoring and developing engineers • Strong coding skills in Python • Experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark)

🏖️ Benefits

• Offers Equity • Offers Bonus