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Machine Learning Engineer Associate Jobs in San Jose, CA

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you're excited by real-world ...

Genentech

Machine Learning Engineer

South San Francisco, CA · On-site +1

$168K - $312K/yr

The Machine Learning Engineer sits on the Data Science & Machine Learning Team to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data ...

New

Winaxis

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

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 ...

Pattern AI

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 ...

MM International

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 ...

Apple

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 ...

Apple

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 ...

Apple

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 ...

Poesis

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 ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...

PhysicsX

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 ...

Latent

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 ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in San Jose, CA

Machine Learning Engineer Associate information

See San Jose, CA salary details

$48.6K

$96.8K

$154.7K

How much do machine learning engineer associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer associate in San Jose, CA is $96,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $111,300.00 per year, depending on experience, location, and employer.

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 Machine Learning Engineer Associates?

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 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 San Jose, CA? The most popular types of Machine Learning Engineer jobs in San Jose, CA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in San Jose, CA? For Machine Learning Engineer Associate jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in San Jose, CA look for? The top searched job categories for Machine Learning Engineer Associate jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Machine Learning Engineer Associate jobs? Cities near San Jose, CA with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you

Machine Learning Engineer

Willing Tech

San Francisco, CA • On-site, Remote

$172K - $384K/yr

Full-time

Re-posted 6 days ago

Job description

This range is provided by Willing Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $300,000.00/yr

Direct message the job poster from Willing Tech

Machine Learning Engineer – Scientific Visualisation Platform

Location: Remote (US/Canada)

Sector: Scientific AI / SaaS

We’re partnering with a pioneering SaaS company at the forefront of AI for scientific communication. Their platform is redefining how scientists present, understand, and share complex biological research—turning experimental protocols, data, and text into clear, editable visuals that accelerate discovery and decision-making.

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs. If you’re excited by real-world, high-impact problems and want to apply machine learning at the intersection of computer vision, scientific research, and design, this is your opportunity.

What You’ll Do

  • Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON) from biological and textual inputs.
  • Design novel ML architectures focused on scientific diagram generation and natural language-guided editing.
  • Apply the latest in generative AI, computer vision, and multimodal learning to scientific contexts.
  • Collaborate with ML researchers, engineers, and product designers to move from experimentation to scalable deployment.
  • Ensure the visual and biological accuracy, scalability, and editability of AI-generated outputs.

Ideal Candidate

  • 5+ years of experience in machine learning, particularly in computer vision, NLP, or multimodal models.
  • Hands-on experience building and deploying ML systems in production (preferably at a SaaS or product company).
  • Strong coding skills in Python and experience with frameworks like PyTorch, TensorFlow, or JAX.
  • Comfortable with open-ended, technically ambiguous challenges—especially in scientific or research-heavy domains.
  • Bonus: Experience with SVG or vector graphics generation, or a background in life sciences or bio-related research.

Why Join

  • Be one of the first ML hires tackling a completely novel problem in scientific visualisation.
  • Work in a fully remote setup with a smart, mission-aligned team spread across the US and Canada.
  • Shape the technical direction of a product used and loved by scientists around the globe.
  • Join a VC-backed company with an established user base, strong product-market fit, and a clear mission: make science more accessible and actionable.

Interview Insight

We’re looking for engineers who can demonstrate both depth and practicality. Expect conversations around:

  • Your experience with multimodal learning (e.g., combining visual + textual data).
  • Projects where you worked with or generated SVG/vector graphics.
  • The most impactful ML model you’ve developed—metrics, use cases, and why it mattered.

Interested? Let’s connect.

Apply now or reach out directly for a confidential conversation.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionAnalyst, Consulting, and Engineering
  • IndustriesSoftware Development, Biotechnology Research, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Willing Tech by 2x

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