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Remote Embedded Machine Learning Jobs in Santa Clara, CA

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

The ideal candidate will have a strong background in machine learning and data science and a proven ... Optimize algorithms for running on embedded devices and in the cloud * Design and run experiments ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Knowledge of statistical methods and machine learning algorithms: A deep understanding of ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Santa Clara, CA

Remote Embedded Machine Learning information

See Santa Clara, CA salary details

$82.2K

$180.1K

$204.4K

How much do remote embedded machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote embedded machine learning in Santa Clara, CA is $180,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,400.00 and $203,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Santa Clara, CA? The most popular types of Embedded Machine Learning jobs in Santa Clara, CA are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Santa Clara, CA? For Remote Embedded Machine Learning jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Santa Clara, CA look for? The top searched job categories for Remote Embedded Machine Learning jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Embedded Machine Learning jobs? Cities near Santa Clara, CA with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in Santa Clara, CA as of June 2026, with employment types broken down into 47% Full Time, 19% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $180,139 per year, or $86.6 per hour.

Machine Learning - Query Optimization Architect

LaBine and Associates

San Mateo, CA • Remote

Full-time

Medical, Dental, Vision

Re-posted 15 days ago

Job description

If you love creating impactful data products, this is a great role for you This is an ideal role for an energetic person who is looking to join a passionate team of world-class researchers and be part of the exciting startup journey

In this remote-friendly role, you will be responsible for path-breaking innovation on the next generation analytics engine.  As part of the founding team, you will create the best-in-class "data learning" optimizer delivering 10x to 100x runtime speed-ups against the most popular cloud data warehouses

Requirements

  • 5+ years of experience in building cost-based query optimizers

  • Solid experience in delivering high-value cloud data products over several product iterations

  • Deep experience with relational databases, NoSQL and data lakes

  • Familiarity with OLAP databases

  • Strong background in Java, Python

  • Familiar with the Git workflow, open-source projects on Github

  • Experience and passion for building complex technological solutions in a fast-paced and unstructured start-up environment

  • Comfortable working quickly, with lots of iterations, and shipping often

  • Excellent communication, collaboration, and interpersonal skills: empathy, listening, teamwork, and a great sense of responsibility

  • Willingness to learn and take on new challenges every day

Bonus Points

  • Experience working with cloud file systems and in-memory databases

  • Familiarity with BI tools

  • Great hacking and debugging skills

  • DevOps skills using AWS, GCP and Azure services

Perks

  • Working with the world’s leading researchers in machine learning and approximate query processing to turn AI algorithms into scalable and automated cloud products

  • A generous equity and salary package

  • Excellent medical, vision, and dental coverage

  • H1B work visa sponsorship

  • Free meals and snacks

  • Childcare vouchers


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About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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