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

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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 31, 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 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 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 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 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 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:

Computer Vision & Machine Learning, Associate

Mountain View, CA โ€ข On-site

Allen Control Systems
Guided Missile and Space Vehicle Manufacturingย โ€ขย 11 - 50 employees

$94K - $154K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 hours ago


Job description

Company Overview
ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments.

Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems — giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community.

Following a $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security.

ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit allencontrolsystems.com.

Computer Vision & Machine Learning for Autonomous Anti-Drone System

We’re hiring across multiple experience levels, including:

  • Associate CV/ML Engineer

  • CV/ML Engineer

  • Senior CV/ML Engineer

  • Staff CV/ML Engineer

  • Senior Staff CV/ML Engineer

    Your title and level will be determined based on your experience, skills, and the scope of responsibility appropriate for the role.

What You'll Do:

  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.

  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.

  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.

  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.

  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.

  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.

  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Experience with embedded systems and integrating computer vision algorithms into hardware.

  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.

  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compensation Range: $94K - $154K