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Remote Machine Learning Engineer Biotech Jobs in Pasadena, CA

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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 Jul 26, 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 some common challenges faced by remote machine learning engineers in the biotech industry, 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 the biotech industry?

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.
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Remote Machine Learning Engineer Biotech jobs near you
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Pasadena, CA as of July 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.

Senior Machine Learning Engineer

Absurd Ventures

Santa Monica, CA • On-site, Remote

$165K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. You will be a key player in evolving how our games are built and experienced. 

Core Responsibilities 

  • Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and game systems.  Educate the team on what is possible with ML. 
  • Design and deploy LLM techniques, including agentic workflow and toolchain enhancements. 
  • Build pipelines that train on gameplay data and deploy models optimized for real-time inference.  Research and implement on-device small language and other local  models for scalable incorporation of ML features in the live game experience. 
  • Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive environments. 
  • Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization. 
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine. 
  • Stay current with ML and real-time AI trends and ensure performance scalability across platforms. 
  • Mentor other engineers and promote best practices in integrating ML techniques. 

Core Qualifications 

  • 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments. 
  • Strong C++ programming experience. 
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow. 
  • Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind. 
  • Understanding of supervised and unsupervised learning, reinforcement learning, and generative models. 
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 

Plus If 

  • Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.). 
  • Experience building or using ML tools in a game development context.  
  • Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation. 

Description 

  • Full-time job with benefits. 
  • Role is on-site in Santa Monica, CA. 
  • Office is located near downtown Santa Monica - near metro and freeways. 

The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity. 

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