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Remote Machine Learning Engineer Biotech Jobs in Pasadena, CA

RAND Corporation

AI Security Resident

Santa Monica, CA · On-site +1

  • Medical

  • Life

  • PTO

... Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy ... Fully remote work within the US, along with US visa support, will also be considered. Writing or ...

New

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

Motorola

Senior DevOps Engineer (US REMOTE)

Culver City, CA · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Escalon

Chief Technology Officer - Remote

Santa Monica, CA · Remote

$200K - $225K/yr

... machine learning to help predict and improve audience response to creative work across TV, film ... not a dogmatic engineer. ● Entertainment industry background is not required. ● Must be ...

New

SpaceX

Software Engineer (Starship)

Hawthorne, CA · On-site +1

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

  • Medical

  • Life

  • Retirement

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

... 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 ...

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

Remote Machine Learning Engineer Biotech information

See Pasadena, CA salary details

$34.4K

$140.5K

$211.1K

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

As of Aug 16, 2026, the average yearly pay for remote machine learning engineer biotech in Pasadena, CA is $140,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $169,100.00 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 the most commonly searched types of Machine Learning Engineer Biotech jobs in Pasadena, CA?

The most popular types of Machine Learning Engineer Biotech jobs in Pasadena, CA are:

What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Pasadena, CA?

For Remote Machine Learning Engineer Biotech jobs in Pasadena, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities near Pasadena, 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 Pasadena, CA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $140,462 per year, or $67.5 per hour.

Software Engineer, ML Infrastructure

Serve Robotics

Los Angeles, CA • Remote

$155K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.

Responsibilities

  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.

  • Build data discovery features for the platform.

  • Create and maintain search features such as natural language querying

  • Develop and maintain our orchestration and scheduling systems.

  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management

  • Build integrations with annotation providers to efficiently review large scale data preannotations

  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications

  • BS or MS in computer science with focus in data engineering and/or machine learning

  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows

  • Experience building data mining and search capabilities

  • Experience with both Python and SQL is required

  • Solid understanding of data distributions and their impact on ML Models

  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases

  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out

  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)

  • Experience working with Multi Modal data (Lidar, Camera, etc)

  • Experience with robotics systems

  • Experience optimizing large scale vector databases

Compensation Range: $155K - $190K