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Machine Learning Engineer Associate Jobs in San Leandro, CA

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

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 ...

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 ...

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 ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...

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 ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

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 ...

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 ...

Showing results 21-40

Machine Learning Engineer Associate information

See San Leandro, CA salary details

$46.9K

$93.4K

$149.2K

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

As of Aug 8, 2026, the average yearly pay for machine learning engineer associate in San Leandro, CA is $93,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $107,400.00 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 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 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 cities near San Leandro, CA are hiring for Machine Learning Engineer Associate jobs? Cities near San Leandro, CA with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer

RIT Solutions, Inc.

Fremont, CA • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying advanced machine learning solutions to support factory and warehouse operations, while collaborating with cross-functional teams to address operational challenges.
Responsibilities:
• Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
• Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
• Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
• Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
• Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
• Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
• Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Qualifications:
Required:
• Strong proficiency in Python, particularly for high-performance and data-intensive applications.
• Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
• Expertise in one or more of the following domains: Computer Vision, Large Language Models (LLMs), Recommender Systems, Operations Research.
• Solid understanding of statistics and experimental methods for model evaluation and comparison.
• Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
• Strong commitment to writing clean, modular, and sustainable code.
Preferred:
• Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
• Familiarity with multi-modal data processing and integration techniques.
• Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.