Senior Software Engineer, AI

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization

We’re looking for a Senior Software Engineer specializing in AI to join our Risk and Insurance Tech team. In this role, you’ll develop and deploy cutting-edge AI solutions to enhance our claims processing, First Notice of Loss (FNOL) efficiency, and risk management capabilities. You’ll leverage large language models (LLMs) and advanced AI technologies to tackle complex challenges, improving operational outcomes and delivering exceptional user experiences.

Why Lyft?

• Opportunity to work on impactful projects in the AI space with real-world applications.
• Competitive salary and benefits package.
• Collaborative and inclusive work culture.
• Professional growth opportunities, including mentorship and access to cutting-edge AI technologies.

Responsibilities:

• Design, build, and deploy AI-powered solutions to improve claims processing, automate FNOL workflows, and optimize risk assessment.
• Leverage large language models (LLMs) to extract insights, generate recommendations, and streamline operations in the insurance and risk domain.
• Collaborate with cross-functional teams, including product managers, data scientists, and risk specialists, to identify and solve key business challenges.
• Develop scalable, robust, and secure systems that integrate AI/ML capabilities into Lyft’s Risk and Insurance products.
• Drive innovation by researching and implementing the latest AI techniques and best practices.
• Monitor and evaluate the performance of AI models, iterating to ensure continuous improvement and alignment with business goals.
• Mentor junior engineers and contribute to a culture of technical excellence and collaboration.

Qualifications:

• Bachelor’s, Master’s or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 5+ years of experience as a software engineer, with a focus on AI/ML technologies.
• Strong proficiency in Python, TensorFlow, PyTorch, or other AI frameworks.
• Experience working with LLMs and natural language processing techniques.
• Proven ability to design and deploy machine learning models in production environments. Strong ability to learn and build end to end applications on top of the AI models.
• Knowledge of claims processing, FNOL systems, or risk management in the insurance domain is a plus.
• Excellent problem-solving skills and the ability to work independently or collaboratively in a fast-paced environment.
• Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Familiarity with cloud platforms (AWS, GCP, Azure) and tools for AI/ML development and deployment.
• Experience with data engineering and working with large datasets.
• Knowledge of compliance, security, and ethical considerations in AI applications.

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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft 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.

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. 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 - $220,000. 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.