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Algorithm Engineer Jobs in San Francisco, CA (NOW HIRING)

Ava

Algorithmic Backend Engineer

San Francisco, CA · On-site

... algorithmic basics, AWS, Jenkins, Docker, Terraform. * Bonus: You have dabbled into React.js * Bonus: You've spent meaningful time as a senior engineer or tech lead - or even better, you've managed a ...

Ava

Algorithmic Backend Engineer

San Francisco, CA

... algorithmic basics, AWS, Jenkins, Docker, Terraform. * Bonus: You have dabbled into React.js * Bonus: You've spent meaningful time as a senior engineer or tech lead - or even better, you've managed a ...

Aetherflux

DSP Software Engineer

San Carlos, CA · On-site

$167K - $214K/yr

Develop algorithms for filtering, modulation, demodulation, synchronization, channel estimation ... Collaborate with FPGA engineers to partition algorithms between software and programmable logic.

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All JobsAlgorithm Engineer JobsAlgorithm Engineer Jobs in San Francisco, CA

Algorithm Engineer information

See San Francisco, CA salary details

$70.1K

$131.5K

$239.2K

How much do algorithm engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for algorithm engineer in San Francisco, CA is $131,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $156,100.00 per year, depending on experience, location, and employer.

What are the typical challenges an algorithm engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

How much does an Algorithm Engineer make?

The average salary for an Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in some companies.

What does an algorithm engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive as an algorithm engineer?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the most commonly searched types of Algorithm Engineer jobs in San Francisco, CA? The most popular types of Algorithm Engineer jobs in San Francisco, CA are:
What are popular job titles related to Algorithm Engineer jobs in San Francisco, CA? For Algorithm Engineer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Algorithm Engineer jobs in San Francisco, CA look for? The top searched job categories for Algorithm Engineer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Algorithm Engineer jobs? Cities near San Francisco, CA with the most Algorithm Engineer job openings:
Algorithm Engineer jobs near you
Infographic showing various Algorithm Engineer job openings in San Francisco, CA as of August 2026, with employment types broken down into 63% Full Time, 9% Temporary, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,521 per year, or $63.2 per hour.

Senior Data Scientist, Algorithm, Lyft Biz

Lyft

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Lyft rating

7.6

Company rating: 7.6 out of 10

Based on 33 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.
Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.
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 are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You'll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation.
This is a high-visibility, high-impact role with direct influence on Lyft's enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of technical leadership in fast-paced, cross-functional environments.
Responsibilities
  • Technical Leadership: Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products (Business Travel, Lyft Pass, Concierge) in ambiguous, high-impact problem spaces.
  • End-to-End Modelling: Own the complete lifecycle of algorithmic solutions-from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration.
  • Production Deployment: Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores.
  • Experimentation & Rigor: Define offline/online metrics, evaluation frameworks, and A/B testing strategies to ensure algorithms are reliable, fair, and aligned with business outcomes.
  • System Optimization: Continually improve model performance across latency, accuracy, cost, and reliability using advanced tuning and scientific rigor.
  • Algorithmic Innovation: Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities.
  • Cross-Functional Influence: Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams.
  • Mentorship & Quality Bar: Mentor junior and mid-level scientists, providing technical guidance, conducting modeling critiques, and contributing to Lyft's broader ML standards and tooling.
Experience
  • Master's or PhD in Machine Learning, Computer Science, Statistics, Optimization, or a related quantitative field (or equivalent applied experience)
  • Industry Background: 5+ years of hands-on experience developing, deploying, and maintaining production machine learning models and optimization systems.
  • Core Technical Expertise: Deep knowledge of supervised/unsupervised learning, ranking/decisioning systems, probabilistic modeling, and causal inference.
  • Technical Stack: Strong proficiency in Python, modern ML frameworks (PyTorch, TensorFlow, scikit-learn), and distributed data systems (Spark, Snowflake, Databricks).
  • Production ML Systems: Hands-on experience building end-to-end ML architectures, including online/batch pipelines, feature engineering, and automated monitoring frameworks.
  • Experimental Design: Demonstrated track record of designing rigorous experimentation strategies, A/B tests, and offline/online validation methodologies.
  • Domain Ownership: Proven ability to independently drive multi-project algorithmic scopes and navigate technical ambiguity from ideation to delivery.Communication & Leadership: Exceptional ability to translate complex technical concepts for non-technical stakeholders, alongside a history of mentoring peers and raising technical bars.
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 Seattle area is $136,160 - $170,200, 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.

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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

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