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Associate Machine Learning Jobs in San Jose, CA (NOW HIRING)

Astrix Inc

Associate AI Scientist

South San Francisco, CA · On-site

$30 - $38/hr

Job Title: Associate AI Scientist (Contract) Location: South San Francisco, CA (Onsite with ... Develop and evaluate machine learning models that link DNA sequence to biological function * Apply ...

Walmart

Senior, Data Scientist

San Bruno, CA · On-site

$117K - $234K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

Hayward, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

Cupertino, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

Sunnyvale, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

Mountain View, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

San Mateo, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

Milpitas, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Staff, Data Scientist

Fremont, CA · On-site

$132K - $264K/yr

Experience building machine learning, Deep Learning models, GenAI applications and deploying to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

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Showing results 21-40

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in San Jose, CA

Associate Machine Learning information

See San Jose, CA salary details

$36.9K

$155.9K

$368.6K

How much do associate machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for associate machine learning in San Jose, CA is $155,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $236,700.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in San Jose, CA? The most popular types of Machine Learning jobs in San Jose, CA are:
What are popular job titles related to Associate Machine Learning jobs in San Jose, CA? For Associate Machine Learning jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in San Jose, CA look for? The top searched job categories for Associate Machine Learning jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Associate Machine Learning jobs? Cities near San Jose, CA with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you

Associate AI Scientist

Astrix Inc

South San Francisco, CA • On-site

$30 - $38/hr

Full-time

Re-posted 16 days ago

Job description

Pay Rate Low: 30 | Pay Rate High: 38
Excellent opportunity to work on cutting-edge AI applications in genomics within a collaborative, research-driven biotech environment, contributing to impactful projects at the intersection of machine learning and biology.
Job Title: Associate AI Scientist (Contract)
Location: South San Francisco, CA (Onsite with potential hybrid flexibility)
Duration: 6-10 months +benefits included
Schedule: Monday-Friday, 8am-5pm
Pay Rate: $30-$38/hr (flexible for strong candidates)
Role Overview
This position focuses on developing and applying modern machine learning approaches to DNA sequence data to better understand how genetic variants influence biological function. The work supports research efforts in genomics, regulatory biology, and variant interpretation.
Key Responsibilities
  • Develop and evaluate machine learning models that link DNA sequence to biological function
  • Apply and adapt sequence-based foundation models to improve variant effect prediction
  • Build benchmarking and evaluation pipelines to assess model performance and robustness
  • Analyze and interpret the biological impact of genetic variants using computational models
  • Train or fine-tune models using genomics datasets (e.g., ATAC-seq, RNA-seq, ChIP-seq, MPRA)
  • Collaborate with computational scientists and biologists on cross-functional research projects
  • Present findings to internal scientific teams and contribute to reports or publications
  • Deliver a final project presentation to a broader internal audience

Required Qualifications
  • Master's student, PhD student, recent PhD graduate, or equivalent experience in a relevant scientific or computational discipline.
  • Familiarity with sequence modeling and genomic machine learning workflows
  • Experience with sequence-based or foundation models (DNA/RNA language models or similar)
  • Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow)
  • Ability to read and apply concepts from modern ML research literature
  • Academic background in computational biology, computer science, biology, or related field
  • Foundational knowledge of gene expression and cell biology

Preferred Qualifications
  • Experience communicating computational biology concepts to diverse audiences
  • Familiarity with statistical fine-mapping methods (e.g., SuSiE, FINEMAP, PAINTOR)
  • Experience applying ML models to biological interpretation or experimental design
  • Knowledge of common genomics data formats, genome annotations, and large datasets
  • Interest in gene regulation, enhancers, promoters, and non-coding genome biology
  • MUST be authorized to work in the United States without sponsorship.

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