Staff Machine Learning Engineer - Positioning
To see similar active jobs please follow this link: Remote Development jobs
Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.
Lime aims to have a scooter or bike ready for you at the right place at the right time. To do that, we need to find the most effective way to deploy our vehicles throughout a city and constantly rebalance them to best satisfy demand. The ML team plays a critical role in this optimization problem by forecasting demand and recommending deployment locations to our operations partners. We work closely with data scientists, local operators who know their city block-by-block and engineering teams across the stack.
Join as a Staff ML Engineer to tackle this complex and multi-faceted problem as well as a variety of other ML challenges.
What You'll Do:
Contribute directly to improving Lime’s demand forecasting and positioning algorithms.
Help set and execute a multi-year ML strategy, incorporating state-of-the-art technologies, processes and techniques.
Collaborate closely across engineering, product, data science, operations and more to make the best technical and product decisions.
Coach engineers and data scientists.
About You:
7+ years of industry professional software engineering and/or ML experience with a track record of building and maintaining successful products.
Experience employing a variety of machine learning techniques
Collaboration skills when working cross-functionally with product managers, operations teams and other stakeholders to translate business requirements into technical solutions.
Passion for helping your teammates grow and influencing the technical culture.
Ability to set a technical vision and execute against it.
Sense of urgency to get things done and deliver incrementally
Preferred experience
Specific experience in forecasting demand
Specific experience with reinforcement learning
Specific experience with online learning
Experience or interest in experimenting with LLMs
The anticipated salary range for this position is CAD $153,000 - $210,000. Equity and benefits may be provided as part of the compensation package, depending on the position offered. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the candidate’s location of residence, the successful candidate's skills, experience and other qualifications. In addition to base salary, some roles may be eligible for a variable bonus based on a combination of company performance, employee performance, and management discretion.
#LI-HS1
#LI-Remote
Why Lime?
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.
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 an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences. Applicants with disabilities who require a reasonable accommodation for any part of the application or hiring process can email recruiting-operations@li.me for assistance.
About the job
Staff Machine Learning Engineer - Positioning
To see similar active jobs please follow this link: Remote Development jobs
Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.
Lime aims to have a scooter or bike ready for you at the right place at the right time. To do that, we need to find the most effective way to deploy our vehicles throughout a city and constantly rebalance them to best satisfy demand. The ML team plays a critical role in this optimization problem by forecasting demand and recommending deployment locations to our operations partners. We work closely with data scientists, local operators who know their city block-by-block and engineering teams across the stack.
Join as a Staff ML Engineer to tackle this complex and multi-faceted problem as well as a variety of other ML challenges.
What You'll Do:
Contribute directly to improving Lime’s demand forecasting and positioning algorithms.
Help set and execute a multi-year ML strategy, incorporating state-of-the-art technologies, processes and techniques.
Collaborate closely across engineering, product, data science, operations and more to make the best technical and product decisions.
Coach engineers and data scientists.
About You:
7+ years of industry professional software engineering and/or ML experience with a track record of building and maintaining successful products.
Experience employing a variety of machine learning techniques
Collaboration skills when working cross-functionally with product managers, operations teams and other stakeholders to translate business requirements into technical solutions.
Passion for helping your teammates grow and influencing the technical culture.
Ability to set a technical vision and execute against it.
Sense of urgency to get things done and deliver incrementally
Preferred experience
Specific experience in forecasting demand
Specific experience with reinforcement learning
Specific experience with online learning
Experience or interest in experimenting with LLMs
The anticipated salary range for this position is CAD $153,000 - $210,000. Equity and benefits may be provided as part of the compensation package, depending on the position offered. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the candidate’s location of residence, the successful candidate's skills, experience and other qualifications. In addition to base salary, some roles may be eligible for a variable bonus based on a combination of company performance, employee performance, and management discretion.
#LI-HS1
#LI-Remote
Why Lime?
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.
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 an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences. Applicants with disabilities who require a reasonable accommodation for any part of the application or hiring process can email recruiting-operations@li.me for assistance.