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Remote Tesla Machine Learning Engineer Jobs in New Jersey

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

Databricks

$105K - $145K/yr

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate ...

GMV

AI Software Engineer

North Brunswick, NJ · On-site +1

$58.75 - $77.75/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Stanford Health Care

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/hr

A Brief Overview The MLOPs Engineer will play an integral role incorporating Artificial ... This group is tasked to innovate, build, deploy and monitor production grade AI, machine learning ...

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

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 Jersey?

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

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

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

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

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

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

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

Remote Tesla Machine Learning Engineer jobs near you
Infographic showing various Remote Tesla Machine Learning Engineer job openings in New Jersey 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.

Software Engineer Supervisor (System Admin)

HR1Systems

Jersey City, NJ • On-site, Remote

Full-time

PTO

Re-posted 25 days ago

Job description

Description
HR1Systems is seeking a Software Engineer Supervisor (Systems Administrator) specializing in managing SaaS platforms, Machine Learning and AI to join our innovative team. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile app technologies.
As a software engineer supervisor, you will work on specific projects critical to HR1Systems' needs with opportunities to switch teams and projects due to our fast-paced business growth. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as we continue to push technology forward. You will be managing a team of junior software engineers and data analysts.
Primary/Essential Duties and Key Responsibilities:
  • Design and Develop Scalable Software Solutions: Bring fresh ideas from various areas to address complex challenges in HR technology.
  • Develop and Implement Models: Design and build machine learning models and algorithms to address complex problems.
  • Machine Learning and AI Development: Design and implement machine learning algorithms and AI-driven solutions, including deep learning and natural language processing.
  • Full-Stack Development: Work across the full technology stack, from backend services to front-end user interfaces, ensuring seamless integration and performance.
  • Collaboration: Work closely with cross-functional teams, including data analysts, project managers, and other engineers, to integrate AI solutions into our products and improve standard operating procedures.
  • Leadership: Display leadership qualities by mentoring junior team members and leading projects.
  • Research and Innovation: Stay current with AI and software engineering research, applying new techniques to enhance existing systems.
  • Code Quality and Review: Maintain high-quality, maintainable code, and participate in code reviews.
  • Data Analysis: Analyze large datasets to extract insights and optimize model performance.
  • Deploy Solutions: Deploy machine learning models and ensure their performance aligns with business needs.
  • Document and Review: Maintain clear documentation of processes and participate in code reviews to ensure high-quality, maintainable code.
  • Project Manager: Manage project, scheduling, client interfacing, deadlines, risk assessments, etc.
  • Supervisor: Manage a team of software engineers and data analysts.

Benefits:
  • Paid Time Off
  • Bonus
  • Paid USA Holidays
  • Flexible Hours (standard 8am-5pm EST)
  • Remote Work
  • Annual International Company Retreats
  • Health and Wellness Programs

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At HR1System, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 70,000 to $ 100,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Requirements
Education:
  • Master's degree or PhD in Software Engineering, Computer Science, or a related technical field.

Experience:
  • 5+ years of experience in software development and with data structures/algorithms.
  • 2-5+ years of managing a team
  • 5+ years of experience testing and launching software products.
  • 5+ years of experience with software design and architecture.
  • 5+ years of experience with machine learning algorithms, artificial intelligence, deep learning, or natural language processing.
  • 5+ years of project management experience

Technical Skills:
  • Strong proficiency in R and Python, with a deep understanding of data manipulation, analysis, and machine learning workflows.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying ML models.
  • Experience with SQL and NoSQL databases for storing and retrieving large datasets.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Experience with Git, version control, and experiment tracking tools (e.g., MLflow, DVC).

Skills:
  • Strong leadership skills and a desire to teach and educate a team.
  • Strong understanding of software development lifecycle and agile methodologies.
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively.
  • Versatility in working across different technologies and a willingness to learn new tools and languages as needed.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.

Apply