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Remote Machine Learning Software Engineer Jobs in Santa Clara, CA

Staff Machine Learning Engineer

Mountain View, CA ยท On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Software/Algorithm Engineer

Santa Clara, CA ยท On-site +1

$152K - $208K/yr

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value ...

Software Engineer

Milpitas, CA ยท On-site +1

$140K - $160K/yr

TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph ... This position is primarily remote, but location-based requirements may apply. If the selected ...

TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph ... This position is primarily remote, but location-based requirements may apply. If the selected ...

TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph ... This position is primarily remote, but location-based requirements may apply. If the selected ...

Showing results 41-60

Remote Machine Learning Software Engineer information

See Santa Clara, CA salary details

$74.6K

$173.3K

$241.3K

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

As of Aug 6, 2026, the average yearly pay for remote machine learning software engineer in Santa Clara, CA is $173,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,900.00 and $203,200.00 per year, depending on experience, location, and employer.

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

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can remote machine learning software engineers work remotely?

Yes, remote machine learning software engineers can work remotely, as many companies offer flexible work arrangements for software development roles. These positions typically require strong programming skills, experience with machine learning frameworks, and proficiency with collaboration tools. Remote work allows engineers to contribute from various locations, provided they have reliable internet access and the ability to participate in virtual meetings and team communication.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Santa Clara, CA? The most popular types of Machine Learning Software Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Machine Learning Software Engineer jobs? Cities near Santa Clara, CA with the most Remote Machine Learning Software Engineer job openings:
Infographic showing various Remote Machine Learning Software Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $173,257 per year, or $83.3 per hour.

Principal Machine Learning Engineer

Atlassian

Mountain View, CA โ€ข On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Overview:

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 โ€” 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.

Responsibilities:

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

Compensation:

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.

Pay Ranges:

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

Qualifications:

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.