Lyft
Software Engineer, Map Inference
Lyft, San Francisco, California, United States, 94199
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To accomplish this, we start with our own community by creating an open, inclusive, and diverse organization.The ETA & Traffic team in Mapping at Lyft is responsible for managing our suite of products, driving top business goals around financial metrics and marketplace performance. The team develops and improves algorithms to leverage data from driver phones/cars to model driver telematics, model traffic, and directly serve accurate ETAs and routes. These models will be used to make good driver and passenger matches, accurate pricing for driver/passengers, and high quality turn-by-turn navigation guidance.Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.Responsibilities:
Help establish roadmap and architecture based on technology and our needsWrite well-crafted, well-tested, readable, maintainable codeParticipate in code reviews to ensure code quality and distribute knowledgeShare your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practicesCan help lead large projects from idea to positive executionUnblock, support and communicate with internal partners to achieve resultsExperience:
2+ years of software engineering industry experience working on distributed systems and microservicesExperience in Golang, Python, and SQL (Java is a plus)Experience working with datastores such as DynamoDB and S3Experience working with streaming/queues such as Kinesis and KafkaExperience working with caches such as Redis or memcachedExperience working with over-the-wire protocols such as REST, gRPC, protobufsScience/ML background is a plusBenefits:
Great medical, dental, and vision insurance optionsMental health benefitsFamily building benefitsIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off401(k) plan to help save for your future18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligiblePre-tax commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramLyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.Starting in September 2023, 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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.The expected range of pay for this position in the US is $139,500 - $155,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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Help establish roadmap and architecture based on technology and our needsWrite well-crafted, well-tested, readable, maintainable codeParticipate in code reviews to ensure code quality and distribute knowledgeShare your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practicesCan help lead large projects from idea to positive executionUnblock, support and communicate with internal partners to achieve resultsExperience:
2+ years of software engineering industry experience working on distributed systems and microservicesExperience in Golang, Python, and SQL (Java is a plus)Experience working with datastores such as DynamoDB and S3Experience working with streaming/queues such as Kinesis and KafkaExperience working with caches such as Redis or memcachedExperience working with over-the-wire protocols such as REST, gRPC, protobufsScience/ML background is a plusBenefits:
Great medical, dental, and vision insurance optionsMental health benefitsFamily building benefitsIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off401(k) plan to help save for your future18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligiblePre-tax commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramLyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.Starting in September 2023, 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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.The expected range of pay for this position in the US is $139,500 - $155,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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