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Remote Machine Learning Engineer Biotech Jobs in Oakland, CA

Adobe

Staff Machine Learning Engineer

San Jose, CA · On-site +1

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching and ranking models that understand text, images, documents, and other content modalities at Adobe ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more.

OKX

Staff Machine Learning Engineer

San Jose, CA · Remote

About The Opportunity Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat ...

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game ...

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All JobsMachine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech Jobs in Oakland, CA

Remote Machine Learning Engineer Biotech information

See Oakland, CA salary details

$36.2K

$147.9K

$222.2K

How much do remote machine learning engineer biotech jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote machine learning engineer biotech in Oakland, CA is $147,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $178,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer in biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Oakland, CA? For Remote Machine Learning Engineer Biotech jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Oakland, CA look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Remote Machine Learning Engineer Biotech jobs? Cities near Oakland, CA with the most Remote Machine Learning Engineer Biotech job openings:
Remote Machine Learning Engineer Biotech jobs near you
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Oakland, CA as of June 2026, with employment types broken down into 42% Full Time, 54% Part Time, 2% Temporary, and 2% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $147,888 per year, or $71.1 per hour.

Senior Machine Learning Engineer

The Voleon Group

Berkeley, CA • On-site, Remote

$290K - $395K/yr

Full-time

Re-posted 22 days ago

Job description

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
As a Senior Machine Learning Engineer on one of Voleon's Research teams, you will partner directly with research staff to advance our quantitative trading strategies. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges.
This role lives at the boundary of research and engineering. You will be expected to understand the statistical and mathematical concepts your research partners work with, contribute meaningfully to technical discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard.
Responsibilities
  • Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies
  • Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring
  • Translate research prototypes and novel ideas into performant, well-tested, production-ready code
  • Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle
  • Supervise, understand, and remediate subtle data quality issues across both research and production environments
  • Proactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability
  • Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization
  • Foster engineering consistency, standards, and best practices within Research

Requirements
  • Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field
  • 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design)
  • Demonstrated mathematical maturity - comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability
  • Deep proficiency in Python; experience with R and/or C/C++ is a strong plus
  • Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar)
  • Proven experience building or maintaining machine learning systems in a distributed computing environment
  • Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility
  • Exceptional attention to detail, particularly when working with imperfect or heterogeneous data
  • Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering

Preferred Qualifications
  • Experience with experiment management, model evaluation pipelines, or ML workflow orchestration
  • Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training)
  • Experience with performance profiling and optimization of numerical or modeling code
  • Prior exposure to financial data, time-series analysis, or quantitative research environments

"Friends of Voleon" Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007

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