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Tesla Machine Learning Engineer Jobs in Fort Lee, NJ

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

Socket.dev

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $210/hr

Machine Learning Engineer @ Clay Clays ambition is to build a self-learning revenue engine : a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of ...

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Errgo

Junior Machine Learning Engineer

Manhattan, NY · On-site

$85 - $110/hr

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML models that power intelligent features across the platform. This role offers the opportunity to work ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

New

RunSybil

Machine Learning Engineer

New York, NY · On-site

About this Role We are seeking talented engineers intent on changing the security industry. If you ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

Namely

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity ...

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All JobsTesla Machine Learning Engineer JobsTesla Machine Learning Engineer Jobs in Fort Lee, NJ

Tesla Machine Learning Engineer information

See Fort Lee, NJ salary details

$32.9K

$134.4K

$202K

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

As of Aug 19, 2026, the average yearly pay for tesla machine learning engineer in Fort Lee, NJ is $134,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $161,800.00 per year, depending on experience, location, and employer.

What is a Tesla machine learning engineer?

A Tesla Machine Learning Engineer develops and optimizes AI models for applications such as autonomous driving, manufacturing automation, and energy management. They work with large datasets, train deep learning models, and deploy solutions to improve Tesla’s technologies. The role involves collaboration with software engineers, data scientists, and hardware teams to enhance performance and efficiency. Strong programming skills, proficiency in frameworks like TensorFlow or PyTorch, and experience with real-world machine learning deployment are essential.

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

To thrive as a Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and practical experience with AI models. Proficiency with programming languages like Python or C++, deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud-based computing platforms are typically required. Strong problem-solving abilities, collaboration, and effective communication set top candidates apart in a team-oriented, innovative environment. These skills and qualities are crucial for developing robust AI solutions that drive Tesla's cutting-edge technologies and support its mission of advancing sustainable transport.

What are the most common challenges faced by Tesla machine learning engineers, and how are they addressed?

Tesla Machine Learning Engineers often tackle challenges such as processing large-scale data sets, optimizing models for real-time performance, and accommodating frequent changes in project requirements. These challenges are addressed by leveraging Tesla’s high-performance computing resources, working closely with cross-functional teams—including hardware, software, and data engineering—and continuously iterating on solutions. The collaborative culture at Tesla encourages knowledge sharing and innovative problem-solving, helping engineers adapt quickly. If you're motivated by complex challenges and rapid innovation, you'll find opportunities to learn and grow while making direct impacts on disruptive products.

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

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

Tesla Machine Learning Engineer jobs near you
Infographic showing various Tesla Machine Learning Engineer job openings in Fort Lee, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,399 per year, or $64.6 per hour.

Machine Learning Engineer

NYU Langone Hospitals

Manhattan, NY • On-site

$84.58 - $126/hr

Other

Posted 13 days ago

NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

14th of 888 rated healthcare providers

Job description

Position Summary

We have an exciting opportunity to join our team as an Engineer II – Applied AI. As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration with data scientists, business units, and IT partners across various verticals including corporate services, the office of science and research, clinical, and pathology.

Job Responsibilities
  • Design and implement AI/ML applications using our technology stack and best practices in software development.
  • Collaborate with data scientists to build and fine‑tune high‑performing AI models and implement modern techniques from relevant published papers.
  • Develop scalable and robust pipelines to support large data‑processing tasks.
  • Implement internal security and data protection standards in AI applications; maintain AI system risk and security practices.
  • Support the team in preparing for technical reviews and internal documentation (architecture, IT security, AI).
  • Collaborate with stakeholders to meet team objectives; gather feature requirements, identify AI opportunities, create tickets, participate in backlog refinement, execute tickets, and conduct code review.
  • Stay updated with the latest industry trends and advancements in AI and cloud technologies; share and demonstrate learnings with the team.
  • Provide technical guidance and coaching to less experienced team members.
  • Participate in all phases of AI software development life cycle, including analysis, prototyping, development, evaluation, testing, deployment, refactoring, and technical support.
Minimum Qualifications
  • Bachelor's degree in computer science, software engineering, or a related field.
  • 1–3 years of hands‑on experience in AI solution development.
  • Strong programming skills in Python or other languages commonly used in AI development.
  • Substantial knowledge of AI, machine learning, and deep learning.
  • Experience with AI platforms such as PyTorch or TensorFlow.
  • Experience building large‑scale and/or compute‑intensive applications on clusters (HPC, Spark, Kubernetes).
  • Understanding of software development principles and methodologies, including data structures, data modeling, and software architecture.
  • Excellent problem‑solving skills and the ability to work in a team environment.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Master's degree in computer science, data science, software engineering, or a related quantitative discipline.
  • 3–5 years of hands‑on experience in AI solution development.
  • Basic understanding of at least one cloud platform (Azure, AWS, GCP) and cloud‑native development tools, and experience using their AI/ML toolchain.

Qualified candidates must be able to effectively communicate with all levels of the organization.

Benefits: NYU Grossman School of Medicine offers a comprehensive benefits and wellness package including financial security benefits, a generous time‑off program, employee resource groups, and a holistic wellness program focused on physical, mental, nutritional, sleep, social, financial, and preventive care. These programs are designed to support employees at all stages of life.

NYU Grossman School of Medicine is an equal‑opportunity employer and is committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.

Salary Range: $84,577.92 – $126,000.00 annually. Actual salaries depend on experience, specialty, education, and hospital need. The range does not include bonuses, differential pay, or other compensation.

To view the Pay Transparency Notice, please click here.

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