Lime Logo

Lime

Staff Applied ML Engineer, Rider

Reposted 13 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Lead technical direction and execution of CX automation systems to reduce support costs and speed resolution. Architect scalable backend services, decision engines, and workflows that take real actions with fraud/abuse guardrails. Partner with Product and CX Operations, drive platform investments, and measure automation effectiveness.
The summary above was generated by AI

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 are hiring a Staff Applied ML Engineer to own and evolve Lime’s CX Automation domain—the systems responsible for reducing customer support cost while improving the speed, consistency, and reliability of rider issue resolution at scale.

In this role, you will set technical direction and drive execution for core automation platforms, including self-service workflows, AI-driven decisioning, and human-in-the-loop systems that support millions of rider interactions each year. Your work will directly influence automation rate, resolution time, and operational spend.

You will translate customer support policies and edge cases into durable, scalable systems that take real actions (e.g. ending trips, issuing refunds), balancing speed, cost efficiency, and rider trust. As a Staff Engineer, you will influence architecture across teams, partner closely with Product and CX Operations, and identify where automation can meaningfully replace manual processes while maintaining appropriate safety and abuse guardrails.

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

What You'll Do:

  • Own the technical direction and execution of Lime’s CX Automation platform, spanning self-service, AI-driven decision-making, and human-in-the-loop workflows.

  • Architect and build scalable backend systems that integrate internal APIs and third-party platforms to automate high-volume rider issues and reduce manual support effort.

  • Design and operate decision engines and automation workflows that take real actions (e.g. ending trips, issuing refunds) with clear guardrails for fraud, abuse, and rider trust.

  • Partner with Product and CX Operations to translate support policies and edge cases into executable automation logic, prioritizing work based on volume, cost impact, and risk.

  • Drive foundational platform investments (e.g., API coverage, workflow infrastructure, observability) required to scale automation reliably.

  • Measure and improve automation effectiveness using data

About You:

  • 6+ years of professional software engineering experience with a track record of owning and operating production systems at scale.

  • Strong backend engineering experience building reliable, scalable services and APIs that support high-volume, customer-facing workflows.

  • Experience building applied AI or automation systems in production, including decision logic, workflow orchestration, or human-in-the-loop processes (deep ML research experience is not required).

  • Demonstrated ability to set technical direction and drive multi-quarter initiatives, making sound architectural and tradeoff decisions in complex, ambiguous environments.

  • Proven judgment in designing systems with real-world constraints, including cost efficiency, operational risk, abuse prevention, and customer trust.

  • Clear and effective communicator who can collaborate across Product, Operations, and Engineering to solve business problems

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.

#LI-PP1

#LI-Remote

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 [email protected] for assistance.

Similar Jobs

13 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Software
The Engineering Manager will lead the Behavioral team to develop systems that turn customer signals into marketing triggers, ensuring scalable and reliable performance. Responsibilities include team growth, initiative delivery, and collaboration with multiple teams.
Top Skills: Asynchronous ProcessingEvent StreamingGoogle Cloud PlatformPub/Sub Systems
13 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Software • App development • Industrial
The role involves managing BizOps and marketplace integrations, enhancing operational workflows, driving system integrations, and ensuring data integrity for enterprise growth.
Top Skills: APIsData PipelinesSQL
13 Hours Ago
Remote
Canada
Junior
Junior
Artificial Intelligence • Productivity • Software • Automation
Sell Zapier's AI orchestration and automation platform to mid-market customers. Own full sales cycle from prospecting through close and expansion, build pipeline via inbound/outbound, manage forecasts in HubSpot/Gong, collaborate with cross-functional teams, and provide product feedback.
Top Skills: Ai OrchestrationChatgptClaudeGeminiGongHubspotLlmsZapier

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account