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Remote Machine Learning Engineer Jobs in San Jose, CA

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching and ranking models that understand text, images, documents, and other content modalities at Adobe ...

Senior Machine Learning Engineer

San Jose, CA ยท Remote

$229K - $367K/yr

We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more.

Senior Machine Learning Engineer

Mountain View, CA ยท On-site +1

$123K - $169K/yr

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game ...

About The Opportunity Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat ...

Showing results 41-60

Remote Machine Learning Engineer information

See San Jose, CA salary details

$36.9K

$150.9K

$226.8K

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

As of Aug 7, 2026, the average yearly pay for remote machine learning engineer in San Jose, CA is $150,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $181,700.00 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 are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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?

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.

What are the most commonly searched types of Machine Learning Engineer jobs in San Jose, CA? The most popular types of Machine Learning Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote Machine Learning Engineer jobs? Cities near San Jose, CA with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $150,916 per year, or $72.6 per hour.

Principal Machine Learning Engineer

Atlassian

Mountain View, CA โ€ข On-site, Remote

Full-time

Posted 29 days ago


Job description

As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, ensuring AI's transformative potential is realized across our offerings.


Technical Leadership & Execution

  • Drive complex decisions that impact the work of teams and change their technical direction over multiple quarters

  • Regularly tackle the largest and most complex problems on the team, from technical design to launch

  • Set the direction of systems and capabilities, balancing progress over perfection

  • Determine plans-of-attack on large projects and solve complex architecture challenges

Model Development & Experimentation

  • Design, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and achieve business objectives

  • Conduct meticulous experimentation and model evaluations, backing decisions with data

  • Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale

  • Oversee end-to-end deployment of ML solutions into production, ensuring continuous evaluation, monitoring, and improvement

Cross-Functional Collaboration

  • Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products

  • Partner across engineering teams to take on company-wide programs spanning multiple projects

  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Mentorship & Organizational Impact

  • Mentor and guide junior and senior engineers, fostering a culture of innovation, collaboration, and continuous learning

  • Actively share knowledge and expertise through mentoring and coaching beyond direct reports

  • Contribute to programs of work that scale across the department

  • Identify, solve, and bridge gaps/problems across teams using experience and expertise

Decision Making & Direction

  • Quickly collate and analyze key decision parameters, balancing speed, risk, and impact appropriately

  • Limit ambiguity and risk by experimenting and prototyping

  • Understand how contributions of multiple capabilities fit into larger products and platforms


At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.


In The United States or Remote, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:


Zone A: $209,700 - $273,775


Zone B: $188,730 - $246,398


Zone C: $174,051 - $227,233


Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.