ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Pleasanton, CA

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

... role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help ... Location and travel We have a lovely office in Oakland, CA, but we also have remote employees ...

BMW

Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $224K/yr

Proficiency in programming languages relevant to AI, Machine Learning and Application Development ... remote work capability (hybrid). WHAT YOU CAN LOOK FORWARD TO. * Medical, Dental, and Vision ...

RADAR

Machine Learning Engineer

Sunnyvale, CA · On-site +1

$120K - $190K/yr

San Diego, CA or Sunnyvale, CA or Remote ABOUT US At RADAR, we're transforming the way the world ... ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ...

Bill.com

Senior Machine Learning Engineer

San Jose, CA · On-site +1

$161K - $194K/yr

Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders ... As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Pleasanton, CA

Remote Machine Learning Engineer information

See Pleasanton, CA salary details

$35.1K

$143.3K

$215.3K

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

As of Jun 17, 2026, the average yearly pay for remote machine learning engineer in Pleasanton, CA is $143,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $172,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in Pleasanton, CA? The most popular types of Machine Learning Engineer jobs in Pleasanton, CA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Pleasanton, CA? For Remote Machine Learning Engineer jobs in Pleasanton, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Pleasanton, CA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Pleasanton, CA are:
What cities near Pleasanton, CA are hiring for Remote Machine Learning Engineer jobs? Cities near Pleasanton, CA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

RAPID EAGLE INC

Sunnyvale, CA • Remote

$70 - $80/hr

Full-time

Medical, Dental, Retirement

Posted 5 days ago

Job description

Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance

Machine Learning Engineer
100% Remote
We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, model deployment, and cloud technologies.
Key Responsibilities:
  • Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications.
  • Build and optimize end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate business requirements into ML solutions.
  • Develop and maintain scalable APIs and microservices for model serving.
  • Monitor model performance, retrain models, and implement MLOps best practices.
  • Work with large-scale structured and unstructured datasets.
  • Optimize model accuracy, scalability, and reliability in production environments.
  • Implement CI/CD pipelines for ML model deployment and lifecycle management.
Required Skills:
  • 5+ years of experience in Machine Learning Engineering or Data Science.
  • Strong programming skills in Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost.
  • Strong understanding of machine learning algorithms, statistics, and data structures.
  • Experience with SQL, data processing, and feature engineering.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps tools.
  • Knowledge of REST APIs, microservices architecture, and model deployment.
  • Experience working with distributed computing frameworks such as Spark.

This is a remote position.

Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

Social media

Twitter

View All Rapid Eagle Jobs