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Entry Level Apple Machine Learning Engineer Jobs in Emerson, 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

Manhattan, NY · On-site

$180 - $230/hr

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 ...

Doist

Machine Learning Engineer

Manhattan, NY · On-site

$180 - $230/hr

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 ...

New

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 ...

Neutral Street

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $180/hr

Bridge the gap between research and production by building scalable machine learning pipelines and optimizing model inference engines. Responsibilities * Optimize inference engines for sub ...

New

Socket.dev

Machine Learning Engineer

Manhattan, NY · On-site

$180 - $230/hr

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 ...

New

NxT Level

Senior Machine Learning Engineer

Manhattan, NY

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the leading provider of facial recognition technologies to US ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

exacare ai

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

About the Role We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

Comcast

Machine Learning Engineer 2

New York, NY · On-site

$126K - $189K/yr

Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property * Testing and evaluating machine learning solutions from internal and ...

Fluidstack

Machine Learning Engineer

Manhattan, NY · On-site

$130 - $180/hr

Partner with data engineering and product pods to put predictions in the tools people already use. What We're Looking For * The below is a starting point. We always make space for exceptional people ...

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All JobsApple Machine Learning Engineer JobsEntry Level Apple Machine Learning Engineer JobsEntry Level Apple Machine Learning Engineer Jobs in Emerson, NJ

Entry Level Apple Machine Learning Engineer information

See Emerson, NJ salary details

$30.7K

$70.9K

$120.7K

How much do entry level apple machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level apple machine learning engineer in Emerson, NJ is $70,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $80,300.00 per year, depending on experience, location, and employer.

What does an entry level Apple machine learning engineer do?

An Entry Level Apple Machine Learning Engineer helps design, develop, and implement machine learning models and algorithms for Apple products and services. They work closely with senior engineers and data scientists to collect and analyze data, build prototypes, and improve the performance of machine learning systems. Responsibilities often include coding, model evaluation, and collaborating with cross-functional teams to integrate ML solutions into Apple’s ecosystem. This role is ideal for those with a strong foundation in programming, statistics, and a passion for innovative technology.

What is the difference between Entry Level Apple Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Apple Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, ML, or related; knowledge of ML frameworksBachelor's in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech company, R&D, product developmentData analysis, research, business insights
Employer & Industry UsageApple, consumer electronics, softwareVarious industries including tech, finance, healthcare
Common Search & ComparisonYesYes

Entry Level Apple Machine Learning Engineers focus on developing ML models for Apple products, requiring knowledge of ML frameworks and programming. Entry Level Data Scientists analyze data to derive insights, often with statistical expertise. While both roles involve data and programming, ML Engineers emphasize model deployment, whereas Data Scientists focus on data analysis and reporting.

What are the key skills and qualifications needed to thrive as an entry level Apple machine learning engineer?

To thrive as an Entry Level Apple Machine Learning Engineer, you generally need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and coursework in machine learning. Familiarity with programming languages such as Python or Swift, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of Apple's development tools like Core ML are typically required. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and contribute innovative solutions in a dynamic tech environment. These competencies are crucial for developing and optimizing machine learning models that power Apple's products and services.

What are some common challenges faced by entry level Apple machine learning engineers, and how can they overcome them?

Entry-level Machine Learning Engineers at Apple often encounter challenges such as adapting to the company's fast-paced innovation cycle, understanding large and complex codebases, and collaborating with cross-functional teams. To overcome these hurdles, it's important to proactively seek mentorship, participate in code reviews, and familiarize oneself with Apple's internal tools and documentation. Regular communication with peers and senior engineers can also help accelerate the learning curve and foster a collaborative environment that encourages innovation and knowledge sharing.
Entry Level Apple Machine Learning Engineer jobs near you
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Emerson, NJ as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 68% Full Time, 9% Part Time, 19% Contract, and 1% Nights. Highlights an 55% Physical, 1% Hybrid, and 44% Remote job distribution, with an average salary of $70,932 per year, or $34.1 per hour.

Machine Learning Engineer I

Fox

New York, NY • Hybrid

$74K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 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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