Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying ...
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying ...
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Machine Learning Engineer Associate information
See California salary details
$41K - $49.1K
1% of jobs
$49.1K - $57.2K
6% of jobs
$57.2K - $65.3K
17% of jobs
$65.4K is the 25th percentile. Wages below this are outliers.
$65.3K - $73.4K
22% of jobs
The median wage is $75.1K / yr.
$73.4K - $81.6K
18% of jobs
$81.6K - $89.7K
10% of jobs
$90.4K is the 75th percentile. Wages above this are outliers.
$89.7K - $97.8K
10% of jobs
$97.8K - $105.9K
8% of jobs
$105.9K - $114K
4% of jobs
$114K - $122.2K
2% of jobs
$122.2K - $130.3K
2% of jobs
$41K
$81.6K
$130.3K
How much do machine learning engineer associate jobs pay per year?
As of Sep 2, 2026, the average yearly pay for machine learning engineer associate in California is $81,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $93,800.00 per year, depending on experience, location, and employer.
What is a machine learning engineer associate?
Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are some common challenges faced by machine learning engineer associates when deploying models to production?
Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.
What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?
To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in California?
The most popular types of Machine Learning Engineer jobs in California are:
What are popular job titles related to Machine Learning Engineer Associate jobs in California?
For Machine Learning Engineer Associate jobs in California, the most frequently searched job titles are:
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Flexible Machine Learning Engineer Biotech
- Machine Engineer
- Machine Learning Engineer New Grad
- Senior Machine Learning Engineer
- Machine Learning Engineer Biotech
- Senior Machine Learning Software Engineer
- Senior Machine Learning Researcher
- Machine Learning Engineer Intern
What job categories do people searching Machine Learning Engineer Associate jobs in California look for?
The top searched job categories for Machine Learning Engineer Associate jobs in California are:
- Freelance Machine Learning Compiler Engineer
- Machine Learning Engineer Opt
- Artificial Intelligence Machine Learning Engineer
- Staff Machine Learning Engineer
- Senior Meta Machine Learning
- Machine Learning Ai
- Senior Staff Machine Learning Engineer
- No Experience Nvidia Machine Learning
- Founding Machine Learning Engineer
- Machine Learning
What cities in California are hiring for Machine Learning Engineer Associate jobs?
Cities in California with the most Machine Learning Engineer Associate job openings:
Full-time
Re-posted 25 days ago
Job description
Job Summary:
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Tranzeal
Sourced by ZipRecruiter
Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.
Industry
Business management consulting
Company size
51 - 200 Employees
Headquarters location
San Jose, CA, US