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Founding Machine Learning Engineer Jobs in Princeton Junction, NJ

Fox

Machine Learning Engineer I

New York, NY · Hybrid

$74K - $130K/yr

ABOUT THE ROLE As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ML-focused teams embedded within core business units across Streaming, Sports, News, FOX One, and ...

Arlo

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it -- from training models ...

Arlo

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it - from training models ...

Nvidia

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs.

Good Inside

Machine Learning Engineer

New York, NY

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Good Inside

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Bespoke Labs

Machine Learning Engineer

Trenton, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Trenton, NJ

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Edison, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Edison, NJ

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Princeton Junction, NJ

Founding Machine Learning Engineer information

See Princeton Junction, NJ salary details

$33.2K

$135.6K

$203.7K

How much do founding machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for founding machine learning engineer in Princeton Junction, NJ is $135,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $163,200.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Princeton Junction, NJ? For Founding Machine Learning Engineer jobs in Princeton Junction, NJ, the most frequently searched job titles are:
What cities near Princeton Junction, NJ are hiring for Founding Machine Learning Engineer jobs? Cities near Princeton Junction, NJ with the most Founding Machine Learning Engineer job openings:
Founding Machine Learning Engineer jobs near you

Machine Learning Engineer I

Fox

New York, NY • Hybrid

$74K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

OVERVIEW OF THE COMPANY

JOB DESCRIPTION

FOX Forward Deployed is an 12-month rotational program that embeds early-career machine learning engineers inside the teams powering FOX's biggest, most-watched moments.
You will complete two six-month deployments across AI-focused teams supporting streaming, sports, news, monetization, and enterprise data systems. You will contribute directly to production ML systems used at national scale.
This is not a research sandbox. Models must ship. Systems must scale.
You Build It. America Sees It.


ABOUT THE ROLE
As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ML-focused teams embedded within core business units across Streaming, Sports, News, FOX One, and platform organizations. You will build, deploy, and monitor models operating inside live production systems.
From sports video intelligence and newsroom AI to ranking, retrieval, and monetization systems, you will work in high-visibility environments where model quality, latency, reliability, and deployment speed directly impact user experience and business performance.
You will operate in an AI-native environment leveraging platforms such as AWS SageMaker and Bedrock, Google Vertex AI, Databricks, Snowflake, ChatGPT, and Claude to accelerate experimentation and production delivery.


A SNAPSHOT OF YOUR RESPONSIBILITIES

  • Rotate across two ML-focused teams embedded within operating business units
  • Build, train, evaluate, and deploy production machine learning models
  • Work with large-scale, real-world datasets and live data streams
  • Integrate models into consumer-facing and enterprise systems
  • Monitor performance, detect drift, and iterate based on measurable outcomes
  • Operate under real constraints around latency, reliability, and scale

WHAT YOU COULD BUILD

  • Video Intelligence at Broadcast Scale: Develop computer vision systems that analyze live sports and news feeds, detect key moments, and generate AI-powered highlights and metadata used across FOX platforms.
  • Search, Ranking, and Retrieval Systems: Train and optimize recommendation and ranking models that determine what millions of viewers see across FOX properties.
  • Monetization Optimization Systems: Deploy predictive models that improve ad relevance, yield optimization, and engagement across streaming products.
  • Enterprise Data and AI Infrastructure: Contribute to ML pipelines and platform infrastructure that support retrieval, embeddings, and applied AI systems across consumer and enterprise applications.

WHAT YOU WILL NEED

  • Strong foundations in machine learning, statistics, or applied data science
  • Experience building and evaluating models through coursework, research, projects, internships
  • Proficiency in Python and common ML frameworks
  • Demonstrated use of AI-assisted tools to accelerate ML workflows
  • Ability to explain how you validated model quality using metrics, bias checks, reproducibility controls.
  • Curiosity about how models behave in production environments
  • Bias toward experimentation and measurable outcomes
  • Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.
  • FOX Forward Deployed is intentionally small and selective. Participants are expected to operate as contributing ML engineers from day one.


HOW WE EVALUATE BUILDERS
We evaluate builders by what they've shipped.
You will be asked to:

  • Share one ML artifact such as repository, demo, or paper
  • Explain the problem the model solved
  • Describe the evaluation metrics you chose and why
  • Detail one real constraint or tradeoff
  • Explain how you used AI tools and how you verified their outputs

NICE TO HAVE, BUT NOT A DEALBREAKER

  • Experience deploying models into production systems
  • Exposure to recommendation systems, ranking, or personalization
  • Familiarity with data pipelines or distributed systems

#DTC

#Ll-KD1

#Ll-Hybrid

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $74,000.00-130,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

View more detail about FOX Benefits.

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