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Remote Tesla Machine Learning Engineer Jobs in New York

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

Digitalturbine

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking, bid optimization, recommendation, and user-level prediction across our demand and supply businesses ...

Alt

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

We're hiring a Senior Machine Learning Engineer who thrives on owning models end-to-end, from research through production. In this role, you'll own productization of Alt's pricing and underwriting ...

Quantiphi, Inc.

Senior Machine Learning Engineer

New York, NY · On-site +1

$134K - $176K/yr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... Engineer agentic systems. Develop planning, retrieval, tool-use, and orchestration components for ...

Quantiphi, Inc.

Senior Machine Learning Engineer

New York, NY · On-site +1

$134K - $176K/yr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... Quantiphi is an award-winning, AI-First global digital engineering company that helps the world ...

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All JobsTesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer Jobs in New York

Remote Tesla Machine Learning Engineer information

What does a remote Tesla machine learning engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are the key skills and qualifications needed to thrive as a remote Tesla machine learning engineer?

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

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 collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

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

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What are the most commonly searched types of Tesla Machine Learning Engineer jobs in New York?

The most popular types of Tesla Machine Learning Engineer jobs in New York are:

What are popular job titles related to Remote Tesla Machine Learning Engineer jobs in New York?

For Remote Tesla Machine Learning Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Tesla Machine Learning Engineer jobs in New York look for?

The top searched job categories for Remote Tesla Machine Learning Engineer jobs in New York are:

What cities in New York are hiring for Remote Tesla Machine Learning Engineer jobs?

Cities in New York with the most Remote Tesla Machine Learning Engineer job openings:

Remote Tesla Machine Learning Engineer jobs near you

Staff Machine Learning Engineer

Charlie Health Engineering, Product & Design

New York, NY • Remote

$175K - $255K/yr

Full-time

Re-posted 11 days ago

Job description

Why Charlie Health?

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.

Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home.

As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you.

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you.

Responsibilities

  • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact
  • Lead ambiguous, high-impact initiatives from start to finish, shaping how ML and AI systems improve clinical outcomes across the product
  • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams
  • Establish best practices for ML and generative AI model evaluation, retraining, and experimentation to create clinically responsible systems
  • Utilize ML infrastructure to serve model inferences in real time using live data streams
  • Provide technical mentorship and help raise the quality bar across the organization
  • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing

Requirements

  • A bachelor's degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models; OR
  • A master's degree in a technical field, plus 6+ years of professional experience developing and delivering production software, including machine learning models
  • A doctoral degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models
  • Experience designing and operating production ML systems at scale, including experimentation, deployment, and monitoring
  • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets
  • Experience developing agentic AI workflows is a plus
  • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations
  • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun
  • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC
Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $175,000-255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

Our Values
  • Connection: Care deeply & inspire hope.
  • Congruence: Stay curious & heed the evidence.
  • Commitment: Act with urgency & don't give up.

Please do not call our public clinical admissions line in regard to this or any other job posting.

Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.

Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.

At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.

Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.

By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.

By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.