Senior Machine Learning Engineer, Pricing

Lime; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading micromobility company is seeking a Machine Learning Engineer to design and maintain production models for real-time pricing decisions. The role involves collaborating with software engineers and data scientists to enhance machine learning standards while ensuring effective model deployment. This remote position requires candidates to reside in Canada. Ideal applicants will have significant experience in deploying machine learning methods and a strong foundation in Python and reinforcement learning techniques.

Qualifications

• 5+ years of professional software engineering experience deploying machine learning methods in production systems.
• 2+ years of experience in Reinforcement Learning with expertise in custom reward functions and policy optimization.
• Fluency in Python and experience with modern ML frameworks.

Responsibilities

• Translate complex business problems into solutions using production-level machine learning systems.
• Develop and productionize machine learning models and own model logic.
• Collaborate with engineers and data scientists to enhance ML standards.

Skills

Machine Learning

Python

Reinforcement Learning

Backend development

Collaboration

Tools

AWS

PyTorch

TensorFlow

SQL

pandas

spark

airflow

Snowflake

Sagemaker

Ruby on Rails

Job description

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.

We’re looking for a Machine Learning Engineer to design, deploy, and own production machine learning models that drive Lime’s core pricing decisions. You’ll design and own production ML systems that make real-time pricing decisions under uncertainty—balancing rider demand, fleet supply, regulatory constraints, and business objectives across millions of rides. This role sits at the intersection of ML modeling, backend systems, and product decision-making, with direct ownership of models that ship, learn, and evolve in production. You’ll work on ambitious initiatives, scale successful products, and help define the future of pricing at Lime.

This is a remote position with a requirement for candidates residing in Canada to maintain effective collaboration across teams.

What You'll Do:

• Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems

• Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.

• Implement and own backend pricing services and APIs consumed by the Lime App.

• Architect and build scalable, reliable platforms and services that power pricing decisions and enable new product initiatives.

• Build trust with leadership to influence the company's pricing strategy through reasoning and communication of model performance and technical vision

• Collaborate with other Software Engineers and Data Scientists to raise the bar on ML standards and Engineering Excellence

• Mentor and support engineers on the team, helping grow technical depth and develop future leaders.

About You:

• 5+ years of industry professional software engineering experience deploying machine learning methods at scale in production level systems.

• 2+ years of experience in Reinforcement Learning with expertise implementing customized reward functions, policy optimization, and multi-armed bandits.

• 2+ years of backend development experience (Ruby on Rails is a plus).

• Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)

• Experience with cloud computing services or platforms (preferably AWS).

• Experience with both Snowflake and Sagemaker is a plus.

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.

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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 [e-mail] for assistance.