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Remote Machine Learning Jobs in Atherton, CA (NOW HIRING)

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

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Remote Machine Learning information

See Atherton, CA salary details

$30.9K

$51.6K

$106.7K

How much do remote machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote machine learning in Atherton, CA is $51,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $55,800.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Remote Machine Learning jobs in Atherton, CA?

For Remote Machine Learning jobs in Atherton, CA, the most frequently searched job titles are:

What cities near Atherton, CA are hiring for Remote Machine Learning jobs?

Cities near Atherton, CA with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Atherton, CA as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $51,611 per year, or $24.8 per hour.

Principal Machine Learning Engineer

Atlassian

Mountain View, CA โ€ข On-site, Remote

Full-time

Re-posted 3 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: $236,700 - $309,025

Zone B: $213,030 - $278,123

Zone C: $196,461 - $256,491

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.