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Temporary Machine Learning Engineer Jobs in Newark, NJ

Entravision

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings) The Role: As a Machine Learning Senior Engineer you will be part of all the major ...

Finch Services

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

Machine Learning Engineer Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well -- and we're building the AI to fix it. As a Machine ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise could directly influence how the world's most advanced AI systems reason, plan, and solve problems ...

Inizio Partners

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

Machine Learning Engineer- 2 Positions Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years. Location- Remote Overview: As a GCP ML Engineer, you'll design ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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All JobsTemporary Machine Learning Engineer JobsTemporary Machine Learning Engineer Jobs in Newark, NJ

Temporary Machine Learning Engineer information

See Newark, NJ salary details

$32.9K

$134.7K

$202.3K

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

As of Jun 12, 2026, the average yearly pay for temporary machine learning engineer in Newark, NJ is $134,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $162,100.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and machine learning can earn $500,000 or more annually, especially with experience, specialized skills, and stock options. High compensation often involves leadership roles, working at large tech companies, or in high-demand industries with advanced technical expertise.

Which 5 jobs will survive AI?

For a Temporary Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment are more likely to survive AI automation, such as data science, AI ethics, software architecture, technical consulting, and specialized research. These jobs often involve skills in critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist despite AI advancements. These include jobs in healthcare, such as medical professionals; skilled trades like electricians or plumbers; and roles in education that involve personalized instruction. Such positions often require emotional intelligence, adaptability, and hands-on skills that AI cannot easily replicate.

Can I learn ML in 3 months?

A Temporary Machine Learning Engineer can acquire foundational machine learning skills in three months with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, mastering complex models and gaining practical experience typically requires longer, ongoing learning and project work.
What are the most commonly searched types of Machine Learning Engineer jobs in Newark, NJ? The most popular types of Machine Learning Engineer jobs in Newark, NJ are:
What are popular job titles related to Temporary Machine Learning Engineer jobs in Newark, NJ? For Temporary Machine Learning Engineer jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Engineer jobs in Newark, NJ look for? The top searched job categories for Temporary Machine Learning Engineer jobs in Newark, NJ are:
Temporary Machine Learning Engineer jobs near you
Infographic showing various Temporary Machine Learning Engineer job openings in Newark, NJ as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $134,657 per year, or $64.7 per hour.

Machine Learning Engineer

Root Access Inc

Manhattan, NY

Other

Posted 2 days ago

Job description

Company Overview:
Root Access is an applied AI company building developer tools. We help mission-critical hardware teams leverage purpose-built AI to program and certify their systems faster.
Role Description:
The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product. They work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications that will delight customers. This is an early-stage company with ambitious goals.
You might be a good fit if you have:
  • Proficiency in PyTorch and modern-transformer based systems
  • Experience with AWS for scalable ML service deployment
  • Experience building with Agentic AI frameworks (e.g., RAG, Langchain, MCP, etc)
  • Have 1-3+ years of full-time experience in an MLE role
What We're Looking For:
  • Strong ML Foundations - Experience with recommender systems, embeddings, foundation models. You understand when to use the fancy stuff-and when to keep it simple.
  • Production Mindset - You've shipped ML systems that run in the real world. You write reliable Python, know your way around infra basics, and care about performance.
  • Data Agility - You've worked with messy data-scraping, parsing, cleaning, and transforming it into something your models can learn from.
  • Frontend Awareness - You're not expected to be a frontend engineer, but you know how to make ML feel native in a modern React-based product.
  • High Ownership DNA - You see the problem, spec the solution, and ship. You don't need permission-you need a challenge.
  • 1-of-1 Energy - You've been underestimated, or boxed in. You're ready to work somewhere that lets you fully show what you're capable of.

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