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Remote Bioinformatics Machine Learning Jobs in Cypress, CA

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products * Collaborate with ...

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Showing results 1-20

Remote Bioinformatics Machine Learning information

See Cypress, CA salary details

$63.1K

$100.1K

$158.4K

How much do remote bioinformatics machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote bioinformatics machine learning in Cypress, CA is $100,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $137,200.00 per year, depending on experience, location, and employer.

What is a remote bioinformatics machine learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote bioinformatics machine learning specialist?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What cities near Cypress, CA are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Cypress, CA with the most Remote Bioinformatics Machine Learning job openings:

Senior Machine Learning Engineer

Los Angeles, CA • Remote

thatgamecompany
Arts, Entertainment, and Recreation • 51 - 200 employees

$120K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

Senior Machine Learning Engineer

Remote US & Canada

We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.

We expect you to:

  • Have deep passion for video games and think on behalf of our players

  • Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you

  • Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

  • Be responsible for your domain of expertise on projects from inception to delivery and beyond

Required Skills

  • 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products

  • Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task

  • Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance

  • Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP

  • Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction

  • Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)

  • Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders

Preferred Experience

Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

• Experience with graph databases, collaborative filtering, or user vectorization

• Experience with large-scale sentiment analysis

• Experience with Typescript or Golang

• Experience with source control, CICD, Protobuf, or infrastructure as code

• Experience in the video game industry

• Experience in a small company with a startup feel

• Interest in technical writing and sharing your work

Perks:

• Paid Time Off, Holidays and Two Weeks Winter Break

• Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.

• Pet Insurance for those who need it too.

• Compassionate leave for employees who needs to take care of their family members

• Pre-tax wellness stipend

• Pre-tax work from home stipend

• Access our savings plan (401K program) with company match

• Mental health resources including Headspace membership and Employee Assistance Program (EAP)

• Discount portal for everyday goods and services

• Employee inclusive and diversity initiatives such as Grow Together

• Support for personal professional development

We look forward to meeting you!

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.

Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.

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