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 ...
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
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer
Los Angeles, CA · On-site
They are seeking a Machine Learning Engineer to develop solutions that enhance performance in wireless communication systems, impacting products and services that utilize signal processing technology.
Machine Learning Engineer
Los Angeles, CA · On-site
They are seeking a Machine Learning Engineer to develop solutions that enhance performance in wireless communication systems, impacting products and services that utilize signal processing technology.
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
Santa Clara, CA · On-site
Machine Learning Engineer Location: Santa Clara Full Time The Role We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and ...
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Machine Learning Engineer
Santa Clara, CA · On-site
Machine Learning Engineer Location: Santa Clara Full Time The Role We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
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 ...
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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 ...
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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 ...
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
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 ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
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 ...
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
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 the most commonly searched types of Machine Learning Engineer Biotech jobs in California? The most popular types of Machine Learning Engineer Biotech jobs in California are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in California? For Machine Learning Engineer Biotech jobs in California, the most frequently searched job titles are:
- Volunteer Junior Machine Learning Engineer
- Manager Remote Machine Learning Engineer
- Flexible Remote Machine Learning Engineer
- Machine Engineer
- Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Remote Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Senior Machine Learning Engineer Biotech
What job categories do people searching Machine Learning Engineer Biotech jobs in California look for? The top searched job categories for Machine Learning Engineer Biotech jobs in California are:
- Contract Apple Machine Learning Engineer
- Hourly Remote Machine Learning
- Junior Machine Learning
- Freelance Machine Learning Compiler Engineer
- Machine Learning Ops Engineer
- No Experience Nvidia Machine Learning
- Machine Learning Research Engineer
- Machine Learning Manager
- Principal Machine Learning Engineer
- Patterned Learning Ai
What cities in California are hiring for Machine Learning Engineer Biotech jobs? Cities in California with the most Machine Learning Engineer Biotech job openings:
Other
Medical, Retirement, PTO
Posted 5 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