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Machine Learning Contract Jobs in Princeton Junction, NJ

General Legal

Senior ML Infra Engineer

New York, NY · On-site

$200K - $275K/yr

We're reimagining what a contract can be in the AI age. We're a veteran team, with one successful ... Experience building production infrastructure for machine learning systems * Experience with cloud ...

YO AI Labs

Java Open Source Contributor

New York, NY · Remote

$55.75 - $72.25/hr

Contract Location: Remote Scope of Work: * Contribute production-quality code, reviews, and ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Varsity Tutors

Data Science Tutor

Trenton, NJ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Westfield, NJ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

New Brunswick, NJ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Socure

Software Engineer - II

New York, NY · On-site +1

$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 ...

Whatnot

Staff Software Engineer, Ads

New York, NY · On-site

$245K - $290K/yr

You'll work closely with product, machine learning, and infrastructure teams to make sound trade ... Define service contracts, architectural patterns, fault-isolation strategies, and capacity plans ...

Gemini

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 ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in Princeton Junction, NJ

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 Sep 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 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 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 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:

Machine Learning Contract jobs near you
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, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $49,971 per year, or $24 per hour.

Senior ML Infra Engineer

General Legal

New York, NY • On-site

$200K - $275K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

Job description

The Opportunity
The legal industry is broken - lawyers bill by the hour, charge enormous sums, and take forever to respond. This means that a lot of people who need legal advice don't get it. We're using AI to solve this problem. AI takes the first pass at everything our lawyers do, so that the lawyers can focus on human interaction. We're starting with negotiating commercial contracts, and will expand quickly from there to other use cases within legal. We're reimagining what a contract can be in the AI age. We're a veteran team, with one successful exit already, who've been doing deep learning in the legal space since long before ChatGPT.
Description
General Legal is seeking a Senior ML Infra Engineer to build the systems that allow us to rapidly experiment with, evaluate, train, and deploy increasingly capable AI systems.
You'll sit at the intersection of research and production engineering. Your job will be to make our researchers and engineers dramatically more effective: building reliable infrastructure for model experimentation, evaluation, inference, data generation, training, and observability while ensuring that promising ideas can move quickly from an experiment into production.
This is a unique opportunity to join us at the ground level and define the AI infrastructure behind a platform that will set new standards for the legal industry. You'll have substantial autonomy over architecture and tooling and will help determine how our ML stack evolves as we scale.
Responsibilities
  • Build and own infrastructure for training, evaluating, and serving AI models
  • Develop systems for running large-scale experiments and evaluations quickly and reproducibly
  • Build pipelines for generating, processing, versioning, and managing training and evaluation data
  • Improve the reliability, latency, throughput, and cost efficiency of model inference
  • Build observability and monitoring for AI systems in production
  • Develop infrastructure for agentic workloads, including long-running and asynchronous model execution
  • Work closely with research scientists and product engineers to turn new AI capabilities into reliable production systems
  • Evaluate and integrate new models, inference systems, training frameworks, and infrastructure as the field evolves
  • Be proactive and come up with ideas on how to build our AI systems better

Requirements
  • 5+ years of software engineering, machine learning engineering, or infrastructure experience
  • Strong software engineering fundamentals and proficiency in Python
  • Experience building production infrastructure for machine learning systems
  • Experience with cloud infrastructure, distributed systems, and containerized workloads
  • Ability to independently design, build, and operate complex technical systems
  • Computer Science degree or equivalent experience
  • Eligible to work in the US, and able to work in-office a minimum of 3 days a week in our SF or NY office locations.

Nice-to-Haves
  • Experience training, fine-tuning, or serving large language models
  • Experience with GPU infrastructure and distributed training or inference
  • Experience with reinforcement learning, post-training, or large-scale evaluation systems
  • Experience building infrastructure for AI agents or long-running model workloads
  • Experience optimizing inference latency and cost at scale
  • Experience at an early-stage startup

Compensation & Benefits
$200,000 - $275,000 base, calibrated to experience and location
Health, dental, vision; unlimited PTO; wellness stipend & more...

Apply