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

Oura

Senior Algorithm Scientist

San Francisco, CA · On-site

$107K - $147K/yr

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of ... neural engineering or a related field * 3+ years of solid programming skills in Python and ...

Ōura

Senior Algorithm Scientist

San Francisco, CA · On-site +1

$107K - $147K/yr

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of ... neural engineering or a related field * 3+ years of solid programming skills in Python and ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Build interactive visualization tools for algorithm performance analysis, trend qualification ... Create reusable toolkits and templates that enable algorithm developers and clinical scientists to ...

Abbott

Decision Support Tools Engineer

Alameda, CA

Build interactive visualization tools for algorithm performance analysis, trend qualification ... Create reusable toolkits and templates that enable algorithm developers and clinical scientists to ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Build interactive visualization tools for algorithm performance analysis, trend qualification ... Create reusable toolkits and templates that enable algorithm developers and clinical scientists to ...

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Showing results 21-40

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 10, 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 62% Full Time, 10% 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/Staff Algorithms Engineer

Dexterity

Redwood City, CA

$170K - $225K/yr

Full-time

Re-posted 19 days ago

Job description

As a Senior/Staff Algorithms Engineer, you will be working on a myriad of challenges related to robot task and action planning. You will leverage techniques from machine learning, search, discrete and continuous optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement learning, task and motion planning, and other related fields in order to further develop Dexterity's technology foundations in physical AI.

Dexterity's robotic solutions integrate data from a multitude of sensors, including RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry and human input. To better inform the planning algorithms, you may work on sensor fusion and state estimation techniques to leverage this multimodal sensory data.

You will also work closely with the data platform, physics simulation, and robot operations teams to develop effective and efficient ways to improve the system's internal world model.

Dexterity has an expanding set of algorithmic challenges as we deploy new robotic applications, including areas such as, Improving packing algorithms to build taller, denser, more stable structures with a wider variety of objects, Solving the logistics task of moving and sorting inventory throughout a warehouse, building models that understand physics and geometry for both short- and long-horizon tasks

In addition to core algorithmic developments, you will be responsible for building high quality, maintainable, and performant software. Ideally, you will bring strong software system design sensibilities and help guide software development within the team more broadly.

About Dexterity: 
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world.   Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities.  Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production.  And did we mention we're customer-obsessed?  Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.  We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality!
Day to Day Activities:
  • Make both revolutionary and evolutionary modifications to various algorithms spanning from modern optimal control to Go solvers
  • Collaborate with roboticist, machine learning engineers, mechanical engineers, and product managers to find optimal system solutions
  • Implement, test, and maintain high quality software
  • Develop and maintain accurate models of robotics systems
  • Integrate algorithms with existing software infrastructure, including development of any necessary auxiliary software
  • Lead efforts to improve the rigor and performance of algorithms within Dexterity
Required Skills:
  • Degree in Computer Science, Electrical Engineering, or Mathematics and strong knowledge of Modern C++ and Python (preferred)
  • 5+ years of relevant Industry or Research experience
  • Familiarity with Linux and git versioning
  • Experience with Optimization (convex, continuous, combinatorial, etc.)
  • Experience with various Search Strategies Monte Carlo Tree Search (MCTS), Depth-First Search (DFS), etc.
  • Constraint Satisfaction Problems, Statistics and State Estimation
  • System Modeling, Task and Motion Planning
Nice to haves:
  • Experience with Docker and Kubernetes
  • Previous startup experience
$170,000 - $225,000 a year
Our Total Rewards philosophy is designed to recognize contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility.

For this position, the expected base salary range is $170,000 to $225,000 annually. Actual compensation will be determined based on skills, experience, education, and market factors, and may vary accordingly.

Final compensation decisions are made individually and take a number of factors into consideration. Eligible employees may be considered for equity awards as part of their overall compensation. Access to benefits and wellness resources is provided in accordance with company policies and may vary based on role and location.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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