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Senior Tesla Machine Learning Engineer Jobs in Hackensack, NJ

Sweep360

Machine Learning Engineer

New York, NY

$240K/yr

  • Retirement

  • PTO

If you would have joined early Tesla to make Autopilot work in the real world and improve across ... senior government officials, and executive protection units. What we learn there becomes the ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

  • Retirement

  • PTO

If you would have joined early Tesla to make Autopilot work in the real world and improve across ... senior government officials, and executive protection units. What we learn there becomes the ...

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning infrastructure and collaborate with cross-functional teams to deliver impactful ML solutions. Responsibilities ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the leading provider of facial recognition technologies to US ...

Jane Street

Machine Learning Engineer

Manhattan, NY · On-site

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Sweep360 Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$216 - $264/hr

  • Retirement

  • PTO

If you would have joined early Tesla to make Autopilot work in the real world and improve across ... senior government officials, and executive protection units. What we learn there becomes the ...

Jane Street

Machine Learning Engineer

New York, NY

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

DailyPay

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

  • Retirement

  • PTO

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

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All JobsTesla Machine Learning Engineer JobsSenior Tesla Machine Learning Engineer JobsSenior Tesla Machine Learning Engineer Jobs in Hackensack, NJ

Senior Tesla Machine Learning Engineer information

See Hackensack, NJ salary details

$64.9K

$138K

$200.1K

How much do senior tesla machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior tesla machine learning engineer in Hackensack, NJ is $138,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $156,500.00 per year, depending on experience, location, and employer.

What does a senior Tesla machine learning engineer do?

A Senior Tesla Machine Learning Engineer leads the development and deployment of advanced machine learning models to improve Tesla’s products, such as Autopilot, Full Self-Driving, and manufacturing optimization. They collaborate with multidisciplinary teams to collect data, design algorithms, and ensure models are robust and scalable. In this role, engineers are expected to mentor junior staff, drive research initiatives, and help translate cutting-edge AI advancements into real-world Tesla applications.

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

To thrive as a Senior Tesla Machine Learning Engineer, you need deep expertise in machine learning algorithms, strong programming skills in Python or C++, and a proven track record in deploying models at scale, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience working with large datasets, and cloud computing platforms are typically required, as well as knowledge of Tesla's proprietary systems. Exceptional problem-solving, collaboration, and communication skills distinguish top performers in this role. These abilities are crucial for developing advanced AI solutions that power Tesla's autonomous systems and for driving innovation in a highly competitive, fast-evolving environment.

How does a senior Tesla machine learning engineer typically collaborate with cross-functional teams?

As a Senior Machine Learning Engineer at Tesla, you will frequently work alongside software developers, data scientists, product managers, and hardware engineers. Collaboration is highly cross-functional, with regular meetings to align on project goals, data requirements, and model deployment strategies. You may be involved in translating business objectives into machine learning solutions, sharing insights with non-technical stakeholders, and refining algorithms based on feedback from various departments. This collaborative environment fosters innovation and ensures that machine learning models are well-integrated into Tesla's products and systems.

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

AspectSenior Tesla Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous vehicles, energy, and manufacturingAnalyzes data to extract insights, supports product and business decisions
Employer & Industry UsageTesla, automotive, energy, AI projectsVarious industries including tech, finance, healthcare

While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.

What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Hackensack, NJ?

For Senior Tesla Machine Learning Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:

What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Hackensack, NJ look for?

The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Senior Tesla Machine Learning Engineer jobs?

Cities near Hackensack, NJ with the most Senior Tesla Machine Learning Engineer job openings:

Senior Tesla Machine Learning Engineer jobs near you
Infographic showing various Senior Tesla Machine Learning Engineer job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $138,029 per year, or $66.4 per hour.

Machine Learning Engineer

Sweep360

New York, NY

$240K/yr

Full-time

Retirement, PTO

Posted 12 days ago

Job description

TL;DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted operational decisions across device, cloud, and offline environments.

If you would have joined early Tesla to make Autopilot work in the real world and improve across the fleet or Figure AI before humanoids left the lab-to build the firmware that made them trustworthy, this is that role.


Why Sweep?

As intelligent machines proliferate into every part of the physical world, we humans still lack a defense layer to ensure the systems and devices we rely on remain aligned with us.

We're building that layer today by deploying alongside the world's highest-stakes teams - Olympic delegations, F1 paddocks, halftime shows, global tours, studio productions, senior government officials, and executive protection units. What we learn there becomes the foundation for a civilization-defining capability.

We're a small, talent-dense team with high ownership, high velocity, and low ego. We care deeply, move fast, and are here to build something that outlasts us.

Together, we'll redefine cyber-physical security for the AI age.

What makes this role special?
  • First dedicated AI systems hire.
  • You're the difference between a system that exists and one that works.
  • Ensure reliability of the entire AI system-from data ingestion to operator decision.
  • Turn noisy cyber-physical observations into trusted operational decisions.
  • Define how the system reasons under uncertainty.
  • Your work is used in high-stakes environments where outputs must be trusted.
  • Become the technical lead for Sweep's AI decision system before Series A.
What we're looking for...
  • 5-10 years owning production systems end-to-end.
  • Strong system design across APIs, pipelines, and data storage.
  • Built production AI systems trusted in real-world operations.
  • Strong Python, plus Go/TypeScript (or similar).
  • Comfortable building systems spanning edge devices, cloud, and intermittent connectivity.
  • Able to debug production systems quickly and decisively.
  • Communicates clearly and operates independently. 
  • U.S. Person status required (may involve export-controlled data).
Bonus if you've...
  • Handled streaming systems (Kafka, pub/sub).
  • Created production LLM or inference pipelines (prompting, retrieval, evaluation).
  • Designed for adversarial or security environments.
  • Built systems that run on-device as well as in the cloud.
  • Thrived in an early-stage startup environment..
What you'll do...
  • Shape how the production AI system behaves in the real world.
  • Design ingestion reasoning decision systems.
  • Drive inference reliability, predictable logic, and transparent reasoning.
  • Close the loop from deployments system learning.
  • Make the system trusted under real-world conditions.
  • Partner with RF / hardware / field teams to deliver for elite users globally (~10-15% travel).
How we select...
  • Short application
  • 20-minute intro call
  • Technical deep-dive
  • Practical problem discussion
  • References and offer
Final facts.

Base salary up to $240,000 depending on qualifications, experience, and impact. Total compensation includes equity, premium insurance, 401(k), flexible PTO, and other individual benefits.
You'll join us on-site at our HQ in New York City with occasional domestic and global deployments.
Apply. Make history. Build humanity's defense against machines.

Apply