Machine Learning Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an innovative Machine Learning Engineer to design, develop, and deploy ...
Machine Learning Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an innovative Machine Learning Engineer to design, develop, and deploy ...
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 ...
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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 ...
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
San Francisco, CA · On-site
$200K - $280K/yr
We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...
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
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$117K - $152K/yr
We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$117K - $152K/yr
We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...
Machine Learning Engineer
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...
This job We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.. Some stuff you can do: * Train foundation diffusion models for image ...
This job We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.. Some stuff you can do: * Train foundation diffusion models for image ...
Machine Learning Engineer
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Quick apply
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Machine Learning Engineer
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
Machine Learning Engineer
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...
The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...
Sr. Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
San Francisco, CA · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
San Francisco, CA · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Machine Learning Engineer
San Francisco, CA · On-site +1
$140K - $190K/yr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$140K - $190K/yr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
Machine Learning Engineer Biotech information
See Fairfield, CA salary details
$32.1K - $47K
1% of jobs
$47K - $62K
1% of jobs
$62K - $77K
5% of jobs
$77K - $92K
6% of jobs
$104.4K is the 25th percentile. Wages below this are outliers.
$92K - $107K
14% of jobs
$107K - $122K
14% of jobs
The median wage is $129.5K / yr.
$122K - $137K
18% of jobs
$137K - $152K
14% of jobs
$155K is the 75th percentile. Wages above this are outliers.
$152K - $166.9K
12% of jobs
$166.9K - $181.9K
11% of jobs
$181.9K - $196.9K
5% of jobs
$32.1K
$131K
$196.9K
How much do machine learning engineer biotech jobs pay per year?
As of Aug 6, 2026, the average yearly pay for machine learning engineer biotech in Fairfield, CA is $131,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $157,700.00 per year, depending on experience, location, and employer.
What does a machine learning engineer do in biotech?
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?
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 Fairfield, CA? For Machine Learning Engineer Biotech jobs in Fairfield, CA, the most frequently searched job titles are:
What cities near Fairfield, CA are hiring for Machine Learning Engineer Biotech jobs? Cities near Fairfield, CA with the most Machine Learning Engineer Biotech job openings:
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Medical, Retirement, PTO
Posted 20 days ago
Job description
Machine Learning Engineer
Location: San Francisco, CA, USA (Hybrid/Remote)
Job Type: Full-Time
About the RoleWe are seeking an innovative Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI-powered solutions.
Key Responsibilities- Design, train, and deploy machine learning models.
- Build data preprocessing and feature engineering pipelines.
- Optimize model performance and accuracy.
- Deploy ML models into production environments.
- Collaborate with Data Scientists and Software Engineers.
- Monitor model performance and retrain models when needed.
- Maintain documentation for ML workflows.
- Research and implement new machine learning techniques.
- Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong Python programming skills.
- Knowledge of Machine Learning algorithms.
- Understanding of statistics and data structures.
- Excellent analytical and problem-solving skills.
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
- MLflow
- AWS
- Docker
- Kubernetes
- SQL
- Git
- Health Insurance
- Paid Time Off
- Flexible Work Schedule
- Learning & Development
- 401(k)
- Career Growth Opportunities