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Remote Tesla Machine Learning Engineer Jobs in New York

PLAID

Senior Machine Learning Engineer - Credit

Manhattan, NY · On-site +1

$115K - $158K/yr

We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization ...

Nexxen

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $220K/yr

Sr. Machine Learning Engineer Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models : Design, train, and deploy models that directly power our marketing-focused products, primarily ...

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

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 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:
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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

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

Posted 3 days ago

Job description

Machine Learning Engineer - Search, Ranking & Personalization
Stage: Seed
Founded: 2022
---
Key Job Information

  • <
    • i>Location: New York, NY / San Francisco, CA (Remote OK)
  • <
    • i>Employment Type: Full-Time
  • <
    • i>Experience Level: 3+ years
  • <
    • i>Salary Range: $190,000 - $260,000 per year
  • <
    • i>Equity: Competitive equity package
  • <
    • i>Visa Sponsorship: H-1B, O-1, OPT
    ---
    About the Company
    Client is a fast-growing shopping platform with over 350,000 active users and a 90% retention rate. The company is focused on building intelligent, personalized search and ranking systems to help users discover and trust products at scale. The team is composed of experienced engineers from leading consumer tech companies such as Pinterest and Amazon.
    ---
    Role Summary
    As a Machine Learning Engineer at Client's company, you will join the ML team to design, build, and scale machine learning systems that drive search, ranking, and personalization across a platform serving hundreds of millions of items daily. This is a highly impactful role where your work directly influences user retention and trust. You will collaborate with a world-class team of engineers and play a key part in defining the ML search and personalization strategy from the ground up. The position is open to fully remote candidates.
    ---
    Key Responsibilities
  • D
    • esign, train, and deploy large-scale search, ranking, and personalization models.
  • H
    • andle hundreds of millions of items daily with high performance and reliability.
  • C
    • ollaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • C
    • ontinuously improve model accuracy and system scalability.
  • C
    • ontribute to product direction and technical roadmap for Client's ML systems.
    ---
    Requirements
    Must-Have Qualifications:
  • M
    • inimum of 3+ years professional experience building and deploying ML models in production.
  • P
    • roven experience with ranking, recommendation, or personalization systems.
  • P
    • roficiency in PyTorch and large-scale data processing for real-time inference.
  • S
    • trong backend integration experience (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • W
    • illingness to work in a high-intensity, fast-paced startup environment.
  • B
    • ased in New York or remote in San Francisco.
    Preferred Background:
  • C
    • urrent or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
  • P
    • revious work on consumer-facing search or recommendation products.
    ---
    Benefits & Perks
  • $
    • 190K-$260K base salary plus competitive equity.
  • D
    • irect impact on a core product with a massive, high-retention user base.
  • W
    • ork alongside top-tier engineers from leading consumer tech companies.
  • F
    • ast-paced startup culture with rapid iteration and experimentation.
  • O
    • pportunity to build the ML search and personalization strategy from scratch.
    ---
    Interview Process
    1. Intro call with Head of Recruiting
    2. Technical Interview
    3. Coding Interview
    4. CTO Interview
    5. Onsite Interview
    6. Offer Extended
    7. Hire
    ---
    Candidate Guidelines
    Green Flags:
  • E
    • xperience solving large-scale consumer search/ranking challenges (e.g., Pinterest, Meta, TikTok, Amazon Ads).
  • S
    • trong track record shipping high-impact ML features in consumer products.
  • E
    • arly-stage or startup experience with end-to-end ownership of ML pipelines.
  • D
    • emonstrated "builder" mindset - side projects, prototypes, hackathon wins.
  • H
    • igh intrinsic motivation and interest in future entrepreneurship.
    Red Flags:
  • P
    • rimarily B2B search experience with limited data complexity.
  • R
    • esearch-only background without production deployment.
  • P
    • refers management over hands-on technical work.
  • S
    • truggles with ambiguity or high-intensity work environments.
  • U
    • nwilling to relocate or adapt to NYC-based team culture.
    ---
    Ideal Companies
  • A
    • mazon
  • e
    • Bay
  • P
    • interest
  • D
    • oorDash
  • E
    • tsy

    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015

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