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Founding Machine Learning Engineer Jobs in Santa Clara, CA

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 ...

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 ...

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 ...

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 ...

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 ...

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

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 ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

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'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 ...

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Founding Machine Learning Engineer information

See Santa Clara, CA salary details

$37K

$151.2K

$227.3K

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

As of Aug 6, 2026, the average yearly pay for founding machine learning engineer in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What job categories do people searching Founding Machine Learning Engineer jobs in Santa Clara, CA look for? The top searched job categories for Founding Machine Learning Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Founding Machine Learning Engineer jobs? Cities near Santa Clara, CA with the most Founding Machine Learning Engineer job openings:

Machine Learning Engineer

Indotronix International Corporation

Pleasanton, CA โ€ข On-site

Contractor

Posted 11 days ago


Job description

Machine Learning Engineer | Pleasanton, California, United States Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications. [Responsibilities] - Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges - Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring - Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models - Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments - Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions - Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations [Required Skills and Experience] - Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms - Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models) - Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling - Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization - Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production - Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support [Preferred Skills] - Experience with Azure Databricks, Azure Functions, and Azure Pipelines - Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments - Strong feature engineering and ML pipeline automation skills [Benefits] - 100% remote work-collaborate with a diverse team from anywhere within PST hours - Opportunity for contract extension and career progression on impactful enterprise AI projects - Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices [How to Apply] Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US