The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
Machine Learning Engineer We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning based methods for molecular ...
Machine Learning Engineer We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning based methods for molecular ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...
Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...
Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...
The Principal Machine Learning Engineer will lead the design and development of advanced machine ... Company : Genentech is a biotechnology research company that specializes in genetic testing and ...
The Principal Machine Learning Engineer will lead the design and development of advanced machine ... Company : Genentech is a biotechnology research company that specializes in genetic testing and ...
Machine Learning Engineer
$130K - $200K/yr
Machine Learning Engineer Location: San Francisco, CA Salary Range: $130,000 - $200,000 About Us: Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and ...
Machine Learning Engineer
$130K - $200K/yr
Machine Learning Engineer Location: San Francisco, CA Salary Range: $130,000 - $200,000 About Us: Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and ...
Machine Learning Engineer
$100K - $300K/yr
Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...
Machine Learning Engineer
$100K - $300K/yr
Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...
Machine Learning Engineer We're looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you'll take models from research to real-world applications ...
Machine Learning Engineer We're looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you'll take models from research to real-world applications ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About the Role: Our direct client is hiring a Machine Learning Engineer for their software machine learning ...
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About the Role: Our direct client is hiring a Machine Learning Engineer for their software machine learning ...
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
New
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
New
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
New
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
New
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
New
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
New
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Quick apply
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
Machine Learning Engineer
$200K - $250K/yr
Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...
We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data ...
We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
Machine Learning Engineer Biotech information
See Berkeley, CA salary details
$38.6K - $56.6K
1% of jobs
$56.6K - $74.6K
1% of jobs
$74.6K - $92.7K
5% of jobs
$92.7K - $110.7K
6% of jobs
$125.6K is the 25th percentile. Wages below this are outliers.
$110.7K - $128.7K
14% of jobs
$128.7K - $146.8K
14% of jobs
The median wage is $155.8K / yr.
$146.8K - $164.8K
18% of jobs
$164.8K - $182.8K
14% of jobs
$186.5K is the 75th percentile. Wages above this are outliers.
$182.8K - $200.9K
12% of jobs
$200.9K - $218.9K
11% of jobs
$218.9K - $236.9K
5% of jobs
$38.6K
$157.7K
$236.9K
How much do machine learning engineer biotech jobs pay per year?
As of Jun 14, 2026, the average yearly pay for machine learning engineer biotech in Berkeley, CA is $157,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $189,800.00 per year, depending on experience, location, and employer.
What does a Machine Learning Engineer do in the biotech industry?
A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.
How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?
Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?
To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.
What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?
| Aspect | Machine Learning Engineer Biotech | Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models, coding, deploying algorithms in biotech R&D | Analyzes biological data, interprets results, creates reports |
| Employer & Industry Usage | Biotech firms, pharma companies, research labs | Biotech companies, healthcare, research institutions |
While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.
What are popular job titles related to Machine Learning Engineer Biotech jobs in Berkeley, CA? For Machine Learning Engineer Biotech jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Berkeley, CA look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Berkeley, CA are:
- Biology Machine Learning Intern
- Senior Meta Machine Learning
- Machine Learning Internship Microsoft
- Contract Google Machine Learning Engineer
- Online Machine Learning
- Reinforcement Learning Intern
- Machine Learning Petroleum Engineer
- Contract Apple Machine Learning Engineer
- Machine Learning Engineer Hybrid
- Internship Machine Learning Quant
What cities near Berkeley, CA are hiring for Machine Learning Engineer Biotech jobs? Cities near Berkeley, CA with the most Machine Learning Engineer Biotech job openings:
Full-time
Posted 26 days ago
Job description
Job Summary:
Recruiting from Scratch represents a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing workflows.
Responsibilities:
• Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
• Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Qualifications:
Required:
• 3+ years of experience in machine learning engineering or a related field.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Strong understanding of machine learning algorithms and their applications in real-world scenarios.
• Experience in developing and deploying scalable machine learning models.
Preferred:
• Familiarity with healthcare data and understanding of industry-specific challenges.
• Experience with cloud platforms and deployment of machine learning solutions in production environments.
• Knowledge of data preprocessing and feature engineering techniques.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
Recruiting from Scratch represents a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing workflows.
Responsibilities:
• Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
• Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Qualifications:
Required:
• 3+ years of experience in machine learning engineering or a related field.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Strong understanding of machine learning algorithms and their applications in real-world scenarios.
• Experience in developing and deploying scalable machine learning models.
Preferred:
• Familiarity with healthcare data and understanding of industry-specific challenges.
• Experience with cloud platforms and deployment of machine learning solutions in production environments.
• Knowledge of data preprocessing and feature engineering techniques.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
About Recruiting from Scratch
Sourced by ZipRecruiter
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2021