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Machine Learning Contract Jobs in Princeton Junction, NJ

Software Engineer - II

New York, NY · On-site

$140K - $160K/yr

Partner closely with Product, Data Science/Machine Learning, and Infrastructure teams to deliver ... Work closely with frontend and mobile engineers to define clear API contracts, deliver a seamless ...

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

We bring together world-class data engineers, platform engineers, machine learning engineers ... Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token ...

Senior Data Engineer

New York, NY · On-site

$126K - $180K/yr

We bring together world-class data engineers, platform engineers, machine learning engineers ... Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token ...

Senior Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Contract Compensation: $55-$80/hour Location: Remote Role Responsibilities * Develop high-quality ... PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or ...

Injective provides an interoperable smart contracts platform that is optimized for building ... Apply statistical and machine-learning techniques to generate, validate, and improve trading ...

... contracts, and decentralized applications through cutting-edge security research, formal ... Develop/apply machine learning models (graph-based algorithms & NLP techniques) for threat ...

Senior Data Scientist

New York, NY · On-site

$110K - $125K/yr

... contracts, and decentralized applications through cutting-edge security research, formal ... Develop/apply machine learning models (graph-based algorithms & NLP techniques) for threat ...

Showing results 41-60

Machine Learning Contract information

See Princeton Junction, NJ salary details

$14

$24

$32

How much do machine learning contract jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for machine learning contract in Princeton Junction, NJ is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $26.83 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

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

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Princeton Junction, NJ? The most popular types of Machine Learning jobs in Princeton Junction, NJ are:
What cities near Princeton Junction, NJ are hiring for Machine Learning Contract jobs? Cities near Princeton Junction, NJ with the most Machine Learning Contract job openings:
Infographic showing various Machine Learning Contract job openings in Princeton Junction, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $49,971 per year, or $24 per hour.

Enterprise Account Executive - AI Platform (On-site NYC)

Morgan Pinnacle Group

New York, NY

$150K - $200K/yr

Full-time

Re-posted 6 days ago


Job description

Enterprise Account Executive

Location: New York City, NY

Employment Type: Full-Time

Compensation: $150,000 - $200,000 Base Salary

On-Target Earnings (OTE): $300,000 - $400,000 (50/50 Base & Variable)

Equity: Competitive Equity Package

About the Opportunity

Our client is an exceptionally well-funded, high-growth AI company that is redefining how enterprise organizations make strategic business decisions through cutting-edge artificial intelligence and machine learning technology.

As one of the company's first Enterprise Account Executives, you'll have the opportunity to help build an entirely new product category while selling directly to Fortune 500 organizations and some of the world's most recognizable brands. This is a rare chance to join an early-stage company with significant market momentum, influence its go-to-market strategy, and play a foundational role in scaling revenue.

This position is ideal for someone who enjoys selling highly technical, disruptive solutions, thrives in startup environments, and wants to be part of building something category-defining.

What We're Looking For

Our client is seeking a high-performing Enterprise Account Executive with a proven track record of selling sophisticated AI, machine learning, or other complex enterprise software solutions into large organizations.

The ideal candidate has experience succeeding in fast-growing startup environments where structure is still being built and ownership is expected. You should be comfortable educating executive buyers on emerging technologies, creating demand for products that define new markets, and navigating complex enterprise sales cycles with minimal direction.

Candidates should possess exceptional communication and presentation skills, a disciplined sales methodology, and the intellectual curiosity to understand highly technical products while translating their value into meaningful business outcomes for executive stakeholders.

Experience selling AI solutions is strongly preferred. Candidates from leading universities with a demonstrated history of academic and professional excellence are highly desirable.

This is an opportunity for someone who wants to do more than simply close deals—you'll help shape messaging, sales processes, competitive positioning, and the long-term go-to-market strategy alongside company leadership.

ResponsibilitiesEnterprise Sales
  • Own the complete enterprise sales cycle from prospecting through contract execution and expansion.

  • Sell innovative AI-powered technology solutions into enterprise organizations across industries including consumer products, financial services, consulting, and other large commercial markets.

  • Build trusted relationships with executive-level decision-makers across marketing, strategy, innovation, insights, and digital transformation functions.

Business Development
  • Generate new business through a combination of inbound opportunities and strategic outbound prospecting.

  • Develop targeted account strategies to engage senior decision-makers within enterprise organizations.

  • Build and maintain a healthy pipeline capable of consistently achieving revenue targets.

Complex Solution Selling
  • Educate prospective customers on an emerging AI category and articulate the business value of innovative technology solutions.

  • Navigate complex buying committees and multi-stakeholder enterprise sales processes.

  • Manage sales cycles ranging from approximately two to four months while maintaining strong pipeline discipline.

Strategic Deal Management
  • Structure and negotiate subscription-based commercial agreements designed to generate long-term recurring revenue.

  • Develop compelling business cases and ROI narratives for executive buyers.

  • Lead commercial discussions through procurement, legal review, and final negotiations.

Build the Go-to-Market Function
  • Help establish and refine the company's enterprise sales playbook.

  • Contribute to messaging, objection handling, competitive positioning, and repeatable sales processes.

  • Provide customer feedback that helps shape product direction and future go-to-market initiatives.

Qualifications
  • 4-8 years of experience in enterprise software or technology sales.

  • Proven experience selling AI, machine learning, or other highly technical enterprise software solutions.

  • Strong history of closing complex, high-value enterprise deals.

  • Experience working in a venture-backed or high-growth startup environment is strongly preferred.

  • Exceptional executive communication, presentation, and consultative selling skills.

  • Demonstrated ability to operate independently in fast-paced, evolving organizations.

  • Experience selling to Fortune 1000 or enterprise customers.

  • Strong analytical thinking, business acumen, and problem-solving abilities.

  • Bachelor's degree required; candidates with outstanding academic credentials from highly regarded universities are strongly preferred.

Compensation & Benefits
  • Base salary of $150,000 - $200,000.

  • On-target earnings of $300,000 - $400,000 with a 50/50 base and variable compensation structure.

  • Competitive equity package.

  • Compensation flexibility for exceptional candidates.

Work Environment

This is a full-time, on-site position based in New York City. Team members work from the office five days per week, collaborating closely with leadership, product, engineering, and go-to-market teams.