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Machine Learning Startup Jobs in New Jersey (NOW HIRING)

Background in applying machine learning techniques to optimize nuclear simulation results or data ... Ability to work independently and manage projects with minimal supervision in a startup environment.

Background in applying machine learning techniques to optimize nuclear simulation results or data ... Ability to work independently and manage projects with minimal supervision in a startup environment.

... startup tests, and quality control on new units * Learn to diagnose and repair small engines ... Genuine interest in learning to repair engines, hydraulics, and heavy machinery * Reliable ...

Computational Nuclear Engineer

Kearny, NJ · On-site

$120K - $180K/yr

Background in applying machine learning techniques to optimize nuclear simulation results or data ... Ability to work independently and manage projects with minimal supervision in a startup environment.

Computational Nuclear Engineer

Kearny, NJ · On-site

$120K - $180K/yr

Background in applying machine learning techniques to optimize nuclear simulation results or data ... Ability to work independently and manage projects with minimal supervision in a startup environment.

Lead automation projects from concept through implementation and startup. * Manage automation ... Promote Lockout/Tagout (LOTO) and machine safety programs. * Support Process Safety Management (PSM ...

Lead automation projects from concept through implementation and startup.Manage automation ... Promote Lockout/Tagout (LOTO) and machine safety programs.Support Process Safety Management (PSM ...

ASIC Tech Lead (Analog)

Union, NJ · On-site

$180 - $280/hr

The team combines expertise in optical computing, machine learning, and physics. Lumai has already ... Prior experience at a fabless startup or research spin‑out from the first tape‑out through to ...

Lead Engineer

Hillsdale, NJ · On-site

$110K - $145K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies * Knowledge ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems ...

Lead Engineer

Hillsdale, NJ · On-site

$110K - $145K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies * Knowledge ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems ...

Lead Engineer

Hillsdale, NJ

$110K - $145K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies * Knowledge ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems ...

Support the installation, shakedown, commissioning, and startup of new pilot and demonstration ... learning. * Identify and communicate opportunities for process optimization, reliability ...

Support the installation, shakedown, commissioning, and startup of new pilot and demonstration ... learning. * Identify and communicate opportunities for process optimization, reliability ...

Support the installation, shakedown, commissioning, and startup of new pilot and demonstration ... learning. * Identify and communicate opportunities for process optimization, reliability ...

Support the installation, shakedown, commissioning, and startup of new pilot and demonstration ... learning. * Identify and communicate opportunities for process optimization, reliability ...

Support the installation, shakedown, commissioning, and startup of new pilot and demonstration ... learning. * Identify and communicate opportunities for process optimization, reliability ...

Showing results 41-60

Machine Learning Startup information

See New Jersey salary details

$25.9K

$43.2K

$89.3K

How much do machine learning startup jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning startup in New Jersey is $43,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the most commonly searched types of Machine Learning Startup jobs in New Jersey?

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

What are popular job titles related to Machine Learning Startup jobs in New Jersey?

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

What job categories do people searching Machine Learning Startup jobs in New Jersey look for?

The top searched job categories for Machine Learning Startup jobs in New Jersey are:

Infographic showing various Machine Learning Startup job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,232 per year, or $20.8 per hour.

Computational Nuclear Engineer

Thea Energy

Kearny, NJ • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

About Thea Energy:

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future.

Position Overview:

We are seeking a highly motivated Computational Nuclear Engineer to join our team,focusing on neutronics and multiphysics simulations for stellarator fusion systems. The idealcandidate will possess a strong background in computational transport methods, with aparticular emphasis on multiphysics reactor design, dose rate calculations, and radiationshielding optimization. You will work with minimal supervision, contributing to cutting-edgeresearch and development to ensure the safety and performance of Thea Energy’s stellaratorsystems.


Key Responsibility Areas:
  • Develop and implement advanced workflows for high-fidelity neutronics and related multiphysics simulations in complex 3D stellarator geometries.
  • Conduct simulations of fusion blanket performance, including tritium breeding ratios (TBR), energy deposition, material activation, radiation shielding, and more.
  • Collaborate with cross-disciplinary teams to perform multiphysics coupling (e.g., neutronics to thermal-hydraulics or structural analysis) to refine reactor designs.
  • Perform dose rate calculations and design optimized shielding solutions for personnel and sensitive equipment.
  • Prepare technical reports, presentations, and publications based on simulation results and optimization findings.
Ideal Experience & Skillsets:
  • PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field with2+ years of experience; or a Master’s degree in a relevant field with 4+ years of experience.
  • Strong knowledge of Monte Carlo radiation transport codes (e.g., OpenMC, MCNP,Serpent).
  • Proficiency in programming languages commonly used in scientific computing, specificallyPython and C++.
  • Proficiency in modern scientific software development best-practices (e.g. git, GitHub, CI)
  • Experience in multiphysics coupling frameworks (e.g., MOOSE, Cardinal, NekRS).
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
  • Experience with nuclear data processing and libraries (e.g., NJOY). Experience with deterministic neutron transport solvers (e.g. Atilla, OpenSN)
  • Familiarity with High-Performance Computing (HPC) environments and parallel programming (MPI/OpenMP).
  • Background in applying machine learning techniques to optimize nuclear simulation results or data handling.
  • Understanding of fusion‑specific nuclear challenges, such as first-wall material damage and tritium fuel cycle management.
Personal Attributes:
  • Ability to work independently and manage projects with minimal supervision in a startup environment.
  • Strong attention to detail and a passion for advancing the field of fusion energy research.
  • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.
  • Persistent optimism and a willingness to take on tough challenges.
  • Excited to think creatively about solutions to difficult problems and not relying solely on what has been done before.
Company Benefits:
  • Salary range: $120,000-$180,000
  • Comprehensive health benefits (e.g. medical/dental/vision)
  • Employee equity stock options
  • 20 days PTO

It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy.

Diversity and Inclusion:

Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations.

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Thea Energy logo

About Thea Energy

Sourced by ZipRecruiter

Industry

Clean energy semiconductors manufacturing

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2022