... customers, patients, and guests-easily and efficiently. Our offerings include Business Travel, Lyft ... Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms * Track record ...
... customers, patients, and guests-easily and efficiently. Our offerings include Business Travel, Lyft ... Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms * Track record ...
We sit at the intersection of product and platform, owning both the customer-facing features and ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
We sit at the intersection of product and platform, owning both the customer-facing features and ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
Work with vertical PMs on their surfaces to land the customers you acquire and drive them to first ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
Work with vertical PMs on their surfaces to land the customers you acquire and drive them to first ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
Work with vertical PMs on their surfaces to land the customers you acquire and drive them to first ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
Work with vertical PMs on their surfaces to land the customers you acquire and drive them to first ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work ... Impeccable customer service and problem-solving skills * Excellent, clear verbal and written ...
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work ... Impeccable customer service and problem-solving skills * Excellent, clear verbal and written ...
Customer Service
$14.25 - $19.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Quick apply
Customer Service
$14.25 - $19.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Customer Service
Salisbury, NC · On-site
$14.50 - $19.75/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Quick apply
Customer Service
Salisbury, NC · On-site
$14.50 - $19.75/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Customer Service
Spartanburg, SC · On-site
$12.75 - $17.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Quick apply
Customer Service
Spartanburg, SC · On-site
$12.75 - $17.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Customer Service
$14.25 - $19.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Quick apply
Customer Service
$14.25 - $19.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Customer Service
Union, SC · On-site
$14.25 - $19.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Quick apply
Customer Service
Union, SC · On-site
$14.25 - $19.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Customer Service
$15.25 - $20.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Quick apply
Customer Service
$15.25 - $20.50/hr
As a Customer Service Team Member, you are the face and voice of KFC/TB for your restaurant. You ... You strive to bring your "A" game every day, and you treasure, respect, and promote the reputation ...
Customer Service
$16.50/hr
Join Jackson Hewitt as a Customer Service Representative in Chicago, IL, where you'll play a vital ... to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any ...
Customer Service
$16.50/hr
Join Jackson Hewitt as a Customer Service Representative in Chicago, IL, where you'll play a vital ... to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any ...
Dayshift Customer Service
$13 - $17/hr
Their main responsibilities include accepting payments and providing receipts, making sure all transactions run smoothly and every customer is satisfied with the service. The cashier we would like to ...
Dayshift Customer Service
$13 - $17/hr
Their main responsibilities include accepting payments and providing receipts, making sure all transactions run smoothly and every customer is satisfied with the service. The cashier we would like to ...
... Lyft * Drive a customer obsessed and learning culture by continuously shipping and iterating on ... Familiarity with the operational complexity of physical-world services - where software launches ...
... Lyft * Drive a customer obsessed and learning culture by continuously shipping and iterating on ... Familiarity with the operational complexity of physical-world services - where software launches ...
Customer Service Associate
Lincoln, NE · On-site
$17 - $17.50/hr
Vision insurance 7-Day Furniture (a local furniture retailer) is looking for courteous, professional, and highly motivated customer service representatives for our 2240 Fletcher Ave location.
Quick apply
Customer Service Associate
Lincoln, NE · On-site
$17 - $17.50/hr
Vision insurance 7-Day Furniture (a local furniture retailer) is looking for courteous, professional, and highly motivated customer service representatives for our 2240 Fletcher Ave location.
... regulations to Lyft's current and prospective products and services. * Provide strategic ... every day. * Manage outside counsel in your areas of coverage, including tactical guidance ...
New
... regulations to Lyft's current and prospective products and services. * Provide strategic ... every day. * Manage outside counsel in your areas of coverage, including tactical guidance ...
New
Customer Service Representatives Full Time availability - North Carolina Now accepting applications ... Your Day to Day (Essential Functions): ✅ Customer-Focused Support * Serve as the first point of ...
New
Customer Service Representatives Full Time availability - North Carolina Now accepting applications ... Your Day to Day (Essential Functions): ✅ Customer-Focused Support * Serve as the first point of ...
New
Customer Service Representatives Full Time availability - Idaho Now accepting applications until ... Your Day to Day (Essential Functions): ✅ Customer-Focused Support * Serve as the first point of ...
New
Customer Service Representatives Full Time availability - Idaho Now accepting applications until ... Your Day to Day (Essential Functions): ✅ Customer-Focused Support * Serve as the first point of ...
New
The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers ... Lyft considers working in the office at least 3 days per week to be an essential function of this ...
Customer Service Representatives Full Time availability - Texas Now accepting applications until ... Your Day to Day (Essential Functions): ✅ Customer-Focused Support * Serve as the first point of ...
New
Customer Service Representatives Full Time availability - Texas Now accepting applications until ... Your Day to Day (Essential Functions): ✅ Customer-Focused Support * Serve as the first point of ...
New
Day Lyft Customer Service information
What cities are hiring for Day Lyft Customer Service jobs? Cities with the most Day Lyft Customer Service job openings:
What are the most commonly searched types of Lyft Customer Service jobs? The most popular types of Lyft Customer Service jobs are:
What states have the most Day Lyft Customer Service jobs? States with the most job openings for Day Lyft Customer Service jobs include:
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- 24 7 Work From Home Customer Service
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Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 24 days ago
Lyft rating
7.3
Based on 31 frontline employees who took The Breakroom Quiz
2nd of 9 rated taxi private hire
Job description
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Machine Learning is at the heart of Lyft's products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust.
Lyft Business builds products that help organizations move the people who matter most-employees, customers, patients, and guests-easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs.
We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions.
This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business.
Responsibilities:
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Machine Learning is at the heart of Lyft's products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust.
Lyft Business builds products that help organizations move the people who matter most-employees, customers, patients, and guests-easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs.
We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions.
This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business.
Responsibilities:
- Develop and deploy ML models across multiple problem domains - including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection - in production environments serving millions of rides
- Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead
- Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
- Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale
- Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
- Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions
- Contribute to team engineering standards - code quality, observability, documentation, and testing practices
- Experience with GenAI / LLM ecosystems - prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning
- Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis)
- Experience with pricing, marketplace, or fraud-related ML problems
- Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms
- Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
About Lyft
Sourced by ZipRecruiter
At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Industry
Ground public transportation
Company size
5,001 - 10,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2012