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Remote Algorithms Engineer Jobs in Milpitas, CA (NOW HIRING)

Andriod Developer

Sunnyvale, CA · Remote

$57 - $75/hr

Andriod Developer Location: Sunnyvale, CA (Remote) - Look for nearby location candidates those ... Strong experience in Algorithm and Data Structure. * Experience with networking, RESTful API and ...

Showing results 21-40

Remote Algorithms Engineer information

See Milpitas, CA salary details

$69.3K

$130.1K

$236.6K

How much do remote algorithms engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote algorithms engineer in Milpitas, CA is $130,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $154,400.00 per year, depending on experience, location, and employer.

What is a remote algorithms engineer?

A Remote Algorithms Engineer designs, analyzes, and optimizes algorithms to solve complex computational problems while working remotely. They develop efficient solutions for data processing, machine learning, optimization, and other technical challenges. This role typically involves implementing algorithms in programming languages like Python, C++, or Java, optimizing performance, and collaborating with distributed teams. Remote engineers use tools like version control systems, cloud computing, and communication platforms to stay connected. Strong problem-solving skills, mathematical knowledge, and coding expertise are essential for success in this role.

What are the typical daily responsibilities of a remote algorithms engineer?

As a Remote Algorithms Engineer, your typical day will involve designing, implementing, and testing algorithms to solve complex technical problems, often as part of cross-functional projects. You will frequently analyze data, optimize existing code, and collaborate with engineers, data scientists, or product managers through virtual meetings and code reviews. Documenting your work and communicating progress in a clear, organized way is crucial in remote settings to ensure alignment with team goals. Additionally, staying updated on new algorithmic techniques and continuously improving your skills can help drive innovation and personal growth in this role.

What are the key skills and qualifications needed to thrive as a remote algorithms engineer?

To thrive as a Remote Algorithms Engineer, a strong background in computer science, mathematics, and algorithm design—often demonstrated by a relevant degree or experience—is essential. Familiarity with programming languages like Python, C++, or Java, and tools such as Git, as well as knowledge in areas such as machine learning libraries or optimization frameworks, are typically required. Excellent problem-solving abilities, self-motivation, and strong written communication skills help remote engineers collaborate effectively across distributed teams. These skills ensure efficient development, collaboration, and deployment of robust algorithmic solutions in a remote work environment.

What are popular job titles related to Remote Algorithms Engineer jobs in Milpitas, CA?

For Remote Algorithms Engineer jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Remote Algorithms Engineer jobs in Milpitas, CA look for?

The top searched job categories for Remote Algorithms Engineer jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Remote Algorithms Engineer jobs?

Cities near Milpitas, CA with the most Remote Algorithms Engineer job openings:

Senior Engineer

Hired Recruiters

Palo Alto, CA • On-site, Remote

$122K - $168K/yr

Full-time

Re-posted 27 days ago


Job description

JOB DESCRIPTION
Role
We're looking for a senior engineer to join the Divebell team. The ideal candidate will have startup experience or be comfortable working at an early stage venture.
Every technical challenge at Divebell will be within scope.
They should bring a strong customer focus and entrepreneurial mindset to their work and collaborate closely with all roles in the company.
Product
Divebell is a SaaS platform which seamlessly integrates with databases, blob stores, SaaS applications and other sources of structured and unstructured data. The ideal candidate will have a solid understanding of modern cloud and data integration.
The product uses ML and ensemble techniques to classify large quantities of data. It must also solve other data oriented problems such as sampling and risk estimation. These challenging engineering problems call for an algorithmic approach and a passion for data, security, privacy and distributed systems.
The ideal candidate will have 4+ years of experience in these domains.
Experience in the following technologies useful but not required:
  • Kotlin
  • Typescript/Angular 2+
  • Spring
  • PostgreSQL
  • Relational and non-relational data stores
  • Data warehouses and data pipelines
  • AWS / GCP / Azure
  • Machine Learning
  • Docker
Location
Candidates based in and around Boston or the San Francisco Bay Area are preferred and we can accommodate hybrid and remote work.