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Work From Home Tesla Machine Learning Jobs (NOW HIRING)

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay ...

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay ...

They are seeking a Machine Learning Engineer to join their Personalization team, focusing on ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Develop tools for large-scale data processing and ETL and contribute to extracting insights from ... The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup ...

Develop tools for large-scale data processing and ETL and contribute to extracting insights from ... The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup ...

Machine Learning Engineer

Pittsburgh, PA · On-site +1

$110K - $165K/yr

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this ... Get ideas, feedback, and suggestions from other best-in-their-field colleagues * Mentorship ...

Work with subject matter experts to build out training/testing datasets * Design and build tests ... Experience with machine learning algorithms and frameworks in Python * United States citizenship ...

Work with subject matter experts to build out training/testing datasets * Design and build tests ... Experience with machine learning algorithms and frameworks in Python * United States citizenship ...

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this ... Get ideas, feedback, and suggestions from other best-in-their-field colleagues * Mentorship ...

... from problem discovery, through prototyping, evaluation, hardening, and production deployment ... Collaboration: Work directly with product managers, implementation consultants, engineers, and ...

... from human review to refine model performance. • Design and implement real-world ML systems with ... • Work closely with a broader team of engineers to integrate ML components into production ...

... from problem discovery, through prototyping, evaluation, hardening, and production deployment ... Collaboration: Work directly with product managers, implementation consultants, engineers, and ...

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Work closely with engineering teams to deploy models and integrate them into our products through ...

ISEE is seeking a full-time Machine Learning Engineer to join our team ... The ideal candidate has several years of work experience. Role responsibilities include: * Working ...

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Work From Home Tesla Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do work from home tesla machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for work from home tesla machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work From Home Tesla Machine Learning Engineer, and why are they important?

To excel as a Work From Home Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning concepts, often supported by a relevant degree and hands-on experience. Familiarity with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and version control systems is crucial, along with experience using cloud platforms. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and project delivery. These competencies ensure the ability to develop innovative AI solutions, work efficiently from a remote environment, and contribute to Tesla's advanced technology goals.

What are some common challenges faced by remote Tesla Machine Learning engineers, and how can they be overcome?

Remote Tesla Machine Learning engineers often face challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring access to robust computing resources. Overcoming these obstacles typically involves leveraging collaboration tools, establishing regular check-ins with team members, and utilizing cloud-based platforms for data and model training. Being proactive in communication and seeking support from internal IT resources can also help maintain productivity and foster a sense of teamwork.

What is a Work From Home Tesla Machine Learning job?

A Work From Home Tesla Machine Learning job involves developing and improving machine learning models for Tesla's products and services, such as self-driving cars, energy solutions, or manufacturing processes, while working remotely. Employees in these roles analyze large datasets, design algorithms, and collaborate with cross-functional teams, all from a home office environment. These positions require strong skills in programming, data analysis, and a deep understanding of artificial intelligence concepts. Tesla offers remote opportunities for qualified candidates who can effectively contribute to their innovative projects outside of a traditional office setting.

How much does Tesla pay remote workers?

Tesla's compensation for remote workers varies by role, experience, and location, but salaries for machine learning positions typically range from $80,000 to over $150,000 annually. Remote Tesla employees often receive benefits such as health insurance, stock options, and flexible schedules, depending on the position and level of experience.

How much does a machine learning engineer make at Tesla?

A machine learning engineer at Tesla typically earns between $100,000 and $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in Python, deep learning frameworks, and data analysis tools.
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What cities are hiring for Work From Home Tesla Machine Learning jobs? Cities with the most Work From Home Tesla Machine Learning job openings:
What states have the most Work From Home Tesla Machine Learning jobs? States with the most job openings for Work From Home Tesla Machine Learning jobs include:
Machine Learning Team Lead

Machine Learning Team Lead

Modulate

Somerville, MA • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 14 days ago


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform - APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering team. This role combines deep technical expertise in machine learning with strong leadership skills to ensure the team is focused, effective, and aligned with business priorities. You will work closely with executive stakeholders while supporting a high-performing, collaborative research team.

Your Impact

  • Lead and support Modulate's machine learning research and engineering team

  • Ensure the team is aligned with business priorities and product needs

  • Help grow team capability through hiring, mentoring, and skill development

  • Maintain high team morale and an effective, collaborative culture

  • Drive clarity on feasibility, prioritization, and estimation of ML work

  • Ensure Modulate continues to ship high-quality, impactful ML models

What You Will Do

  • Collaborate with engineers, researchers, and executives (CTO, CEO, VP Product/Design) on ML strategy and priorities

  • Deeply understand the team's models and research to guide technical direction

  • Help prioritize research and engineering efforts based on impact and feasibility

  • Support the team in designing, training, and shipping machine learning models

  • Mentor researchers and engineers and support their technical growth

  • Participate in hiring and team expansion efforts

  • Communicate model performance and tradeoffs to technical and non-technical stakeholders

  • Optionally contribute directly to ML research and engineering work as an IC when needed

  • Ensure strong collaboration across research, engineering, and product teams

What We Are Looking For

  • Experience conducting machine learning research and shipping models

  • Experience collaborating closely with other researchers (peer, lead, or mentor level)

  • Experience communicating research externally (papers, conferences, etc.)

  • Strong experience with Python and PyTorch

  • Ability to understand and guide complex ML systems and tradeoffs

  • Strong leadership, communication, and organizational skills

  • Ability to align technical work with business priorities

Nice to Have

  • Prior experience managing ML researchers or ML engineering teams

  • Experience working with audio models or speech systems (ASR, TTS, etc.)

  • Experience with cloud infrastructure, especially AWS

  • Experience in fast-paced startup environments

Benefits

  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with strong culture of taking it

  • Weekly team lunches with dietary accommodations

  • Hybrid work with core in-office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued growth support

  • Up to 8 weeks work-from-anywhere policy

  • A deeply inclusive, human-centered culture

Pay Transparency
Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

  • Salary: $170k-210K

  • Equity: Offered

  • Other perks: HSA, FSA, 15 holidays, professional development resources

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as San Francisco, Seattle, Boston, New York, or Austin.

About Modulate
Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond-and we're growing fast. We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people-and we're building technology that does the same.

Ready to join us? Apply here or reach out directly-we're excited to meet you.

A quick note as you apply

  • Please apply through the website rather than emailing [email protected]

  • For application questions ("Your fit for the role," "Your values/goals," and "Why Modulate?"), focus on relevant experience and motivations

  • Avoid including protected demographic information

  • Keep responses authentic and in your own voice


$170,000 - $210,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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