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Hourly Remote Machine Learning Engineer Jobs in Princeton, NJ

Senior Machine Learning Engineer

New York, NY · On-site +1

$145K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By ...

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By ...

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Hourly Remote Machine Learning Engineer information

See Princeton, NJ salary details

$26.7K

$44.6K

$92.2K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for hourly remote machine learning engineer in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Princeton, NJ?

For Hourly Remote Machine Learning Engineer jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Princeton, NJ look for?

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities near Princeton, NJ with the most Hourly Remote Machine Learning Engineer job openings:

Infographic showing various Hourly Remote Machine Learning Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Senior Machine Learning Engineer

SeatGeek

New York, NY • On-site, Remote

$145K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


SeatGeek rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 4 rated ticket sellers


Job description

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you.

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team.

What you'll do
  • Run a modern, containerized service-oriented architecture using industry-leading software development practices
  • Ship code to production many times a day
  • Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
  • Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
  • Evaluate new technologies and improve our software stack to keep our technological edge
  • Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek's technical and product standards
  • Work across team and discipline boundaries to develop the best product in our industry
What you have
  • Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
  • Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
  • Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
  • A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
  • Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

  • Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core 
  • Datastores: Postgres, MemcachedRedis, Elasticsearch
  • Cloud: AWS, k8s, argo
  • Version control: Gitlab
  • AI Tooling: Cursor, Github Copliot, Claude Code
  • Observability: Datadog
  • Client-side: React+Typescript, Swift, Kotlin
Perks
  • Equity stake
  • Discretionary annual bonus
  • Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely
  • A WFH stipend to support your home office setup
  • Unlimited PTO
  • Up to 16 weeks of fully-paid family leave 
  • 401(k) matching 
  • Student loan matching program
  • Health, vision, dental, and life insurance
  • Up to $25k towards family building, reproductive health services and Gender-affirming care
  • $500 per year for wellness expenses
  • Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
  • $360 per quarter to spend on tickets to live events
  • Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.


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