Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team...

Machine Learning Ai

$140k - $176k · Senior Fully remote

View details

Snapshot Members of the Affective Computing group contribute broadly across DeepMind efforts including to the Gemini ...

Fulltime Ai Machine Learning

$166k - $244k · Senior Fully remote

View details

Principal Research Scientist – AI & Machine Learning Novateur stands for Innovation. We value creativity, vision, col...

Ai Machine Learning

$12k* · Senior Fully remote

View details

Westat is a leader in research, data collection and analysis, technical assistance, evaluation, and communications. O...

Ai Machine Learning Data Science Nlp

$75k - $82k · Senior Fully remote

View details

Your Impact Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services th...

Remote Machine Learning Data Science Nlp

$111k - $150k · Senior Fully remote

View details

What We're Building at Simplex At Simplex, we're building a science of intelligence. Our aim is to develop and apply ...

Fulltime Ai Deep Learning

$180k - $400k · Senior Fully remote

View details

The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative—enabling a holistic...

Remote Data Science Ai

$130k - $150k · Senior Fully remote

View details

You are passionate about transforming complex data into actionable insights and tools that make people more efficient...

Remote Ai Machine Learning Data Science

$118k - $171k · Senior Fully remote

View details

Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible...

Data Science Ai

Fully remote

View details

Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible...

Ai Data Science

Fully remote

View details

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insur...

Fulltime Remote Machine Learning Data Science

Fully remote

View details

Your Impact Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical ...

Data Science Ai

$106k - $143k · Senior Fully remote

View details

About Shippo At Shippo, our vision is bold and clear: we are the shipping layer of the internet. Our mission is to ma...

Machine Learning Mlops Ai

$212k* · Senior Fully remote

View details

Research & Analyst Data Scientist Full-time Remote (EU) Research & Analyst Role Overview Apply data science and machi...

Fulltime Remote Machine Learning Data Science

Fully remote

View details

MISSION We are seeking a Data Scientist with strong expertise in modeling, optimization, and a passion for leveraging...

Data Science Ai

Fully remote

View details

The Department of Chemical Engineering and Chemistry focusses on solving societal challenges in health, sustainable e...

Fully remote

View details

Company Description Syngenta is one of the global leaders in the agribusiness, with more than 28,000 employees in ove...

Internship Data Science Data Engineer Ai

$28k* · Senior Fully remote

View details

About FINN FINN is an independent platform for car subscriptions from over 30 brands. Subscribe to a car with just a ...

Fulltime Data Science Ai

$75k - $88k* · Senior Fully remote

View details

About DV & Scibids "DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empo...

Fulltime Ai Machine Learning Data Science

$75k* · Senior Fully remote

View details

The Opportunity We’re seeking a passionate Data Scientist to own the end-to-end implementation and design of data sci...

Data Science Ai

Fully remote

View details

Selected role

Applied Scientist - Pricing, Rider Engagement

Lyft San Francisco, CA, US

$140k - $176k Senior Full-time

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.

The Pricing team is a centerpiece of Lyft's marketplace, determining prices for all rideshare products and supporting new initiatives. Rider Engagement is a fast-growing team within Pricing, focused on developing rider-facing engagement levers and optimizing user pricing experience to drive both short term and long term business outcomes.

As an Applied Scientist specializing in Machine Learning and Operational Research on this team, you will develop mathematical models and launch algorithms that power core discounting systems and pricing decisions. You will be hands-on with building ML and optimization models, productionizing pipelines, building and scaling systems that deal with real-time data processing, large data storage and critical business problems that have a big impact on the marketplace and customer experience. You will get exposure to diverse problems across optimization, prediction, machine learning, and inference; you will collaborate with teammates and stakeholders to build and scale our systems and enhance algorithms.

We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decisioning frameworks.

Responsibilities:

Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
Write production quality code. Design, build and deploy production-grade ML models.
Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems.
Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
Drive collaboration and coordination with cross-functional teams

Experience:

M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
2+ years of machine learning experience in a technology company setting
Proficiency with Python and working in a production coding environment
Passion for solving unstructured and non-standard mathematical problems, and building impactful machine learning models leveraging expertise in one or multiple fields.
Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models
Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits:

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 $140,800 - $176,000, 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.

Showing 941–960 of 2,089 AI roles

1 … 46 47 49 50 105

Find your next AI role

Applied Scientist - Pricing, Rider Engagement

Research Scientist, Socioaffective Agents

Principal Research Scientist - AI Machine Learning

Data Scientist

Senior Data Scientist

Senior Research Scientist - Simplex

Data Scientist

Data Scientist

Talent Community | Data Scientist

Talent Community | Research Scientist

Senior Data Scientist

Data Scientist Senior

Principal Machine Learning Engineer, ML Platform

Data Scientist

DATA SCIENTIST

Research Scientist / Senior Scientist

Internship Data Scientist - Data Pipeline Development

Data Scientist (m/f/x)

Sr. Data Scientist I

Senior Data Scientist