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Machine Learning Startup Jobs in New Jersey (NOW HIRING)

SageSure

Director Data Science

Jersey City, NJ · On-site

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... You will guide the development of advanced analytics, AI, and machine learning solutions while ...

Eisneramper Llp

AI Consulting Senior Manager

Iselin, NJ · On-site

... machine learning, advanced analytics, and generative AI. You will also have a strong product ... Our "startup mentality," backed by the institutional knowledge and established reputation of the ...

Airspace

Warehouse Clerk

Mount Laurel, NJ · On-site

$15.75 - $19/hr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Airspace has been rated one of America's best Startup Employers and listed as one of CNBC ...

New

Hitachi, Ltd.

Computational Nuclear Engineer

Kearny, NJ · On-site

$120 - $180/hr

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.

Socket.dev

Computational Nuclear Engineer

Kearny, NJ · On-site

$120 - $180/hr

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.

Infosys Limited

Java Scala Developer

Jersey City, NJ · On-site

$110 - $150/hr

By the way, we're looking for a machine learning engineer. Ready to build algorithms that shape the ... startup. Now back to the... - Desired 10‑15 years of datasets... #J-18808-Ljbffr

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Showing results 21-40

All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in New Jersey

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:

Machine Learning Startup jobs near you
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.

Director Data Science

SageSure

Jersey City, NJ • On-site

Full-time

Posted 18 days ago

Key responsibilities

  • Lead a team of data scientists in developing and deploying machine learning models and advanced analytics solutions.

  • Partner with senior leaders to understand business needs and translate them into data science strategies and roadmaps.

  • Oversee the design, development, and deployment of data-driven solutions that improve operational efficiency and support decision-making.

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and machine learning solutions while shaping strategy, influencing cross-functional decision-making, and building scalable processes that mature SageSure's data capabilities.
We are looking for a highly motivated, strategically minded, and innovative leader who thrives in both ambiguity and complexity-someone who can elevate team performance, collaborate across the organization, and set a vision for the future of Data Science at SageSure.
What you'd be doing:
  • Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap.
  • Influence and align stakeholders by articulating clear priorities, trade-offs, and expected outcomes; ensure downstream teams have full context to execute effectively.
  • Foster a culture of accountability, collaboration, and continuous improvement across the team and cross-functional partners.
  • Lead, mentor, and develop a high-performing team of data scientists; provide coaching, career development, and structured feedback while ensuring clarity of expectations.
  • Build strong team health by promoting inclusion, psychological safety, and a values-driven culture.
  • Ensure the team structure, processes, and operating rhythms support long-term scalability and organizational needs.
  • Oversee the design, development, and deployment of machine learning models and advanced analytics solutions that drive business impact, improve operational efficiency, and strengthen decision-making.
  • Champion experimentation, innovation, and responsible use of AI; ensure solutions adhere to best practices in model governance, data ethics, and performance monitoring.
  • Translate complex technical concepts into clear, actionable insights for non-technical stakeholders, including senior executives.
  • Build and refine scalable processes, documentation, and standards that enhance quality, reproducibility, and onboarding efficiency.
  • Ensure responsible stewardship of data, models, and technical resources; make fiscally sound decisions aligned with departmental objectives and priorities.
  • Break down silos by promoting cross-functional problem-solving and encouraging teams to think beyond their lane to achieve shared goals.

We're looking for someone who has:
  • Bachelor's or Master's degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, etc.).
  • 3+ years of leadership experience managing data scientists or analytics teams in a fast-paced environment.
  • Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.).
  • Strong understanding of AWS or comparable cloud architecture.
  • Demonstrated success delivering machine learning solutions that drive measurable business outcomes.
  • Proven ability to think strategically, manage complex initiatives, and prioritize effectively across competing demands.
  • Exceptional communication skills, with the ability to influence senior executives and guide teams through ambiguity.

Highly preferred candidates also have:
  • Experience in P&C insurance or another highly regulated, data-intensive industry.
  • Exposure to large-scale, real-time data pipelines and MLOps practices.
  • Experience building cross-functional operating models, processes, or governance frameworks.
  • Experience leading through organizational change and building long-term analytics foundations.

Data and AI at SageSure:
At SageSure, data and AI aren't just functions-they're engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes.
We're building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you're developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you'll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance.
About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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