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Weekend Machine Learning Jobs in Pleasanton, CA (NOW HIRING)

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 ...

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 ...

The role involves designing, building, and deploying machine learning solutions while collaborating with a team of software engineers and researchers to tackle significant security challenges.

The role involves designing, building, and deploying machine learning solutions into production, while collaborating with a high-performing team to tackle real-world customer problems.

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 ...

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 ...

Machine Learning Engineers

San Jose, CA · On-site

$194K - $355K/yr

Tiktok Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok ...

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 ...

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 ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

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 ...

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Weekend Machine Learning information

What are the most commonly searched types of Machine Learning jobs in Pleasanton, CA? The most popular types of Machine Learning jobs in Pleasanton, CA are:
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What cities near Pleasanton, CA are hiring for Weekend Machine Learning jobs? Cities near Pleasanton, CA with the most Weekend Machine Learning job openings:
Infographic showing various Weekend Machine Learning job openings in Pleasanton, CA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer

RIT Solutions, Inc.

Fremont, CA • On-site

Full-time

Re-posted 25 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.