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Machine Learning Research Analyst Jobs in Pompton Lakes, NJ

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

EDEN enables designers to plan intentionally for these outcomes through analysis, simulation, and ... Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or ...

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

... analyzing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the ...

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Showing results 1-20

Machine Learning Research Analyst information

See Pompton Lakes, NJ salary details

$39.4K

$75.8K

$101.9K

How much do machine learning research analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning research analyst in Pompton Lakes, NJ is $75,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $100,900.00 per year, depending on experience, location, and employer.

What does a machine learning research analyst do?

A Machine Learning Research Analyst studies and develops algorithms that enable computers to learn from data. They analyze large datasets, experiment with different machine learning models, and evaluate their performance to solve complex problems. Their work often involves staying updated with the latest research in artificial intelligence and applying these advancements to real-world applications. The role typically requires strong programming, statistical, and problem-solving skills.

How does a machine learning research analyst typically collaborate with data scientists and engineers during a project?

As a Machine Learning Research Analyst, you’ll often work closely with data scientists to interpret complex data sets, develop hypotheses, and validate models. Collaboration with engineers is essential to ensure that research findings are correctly implemented into production systems. Regular meetings, code reviews, and joint problem-solving sessions are common, allowing you to provide analytical insights while engineers focus on system scalability and deployment. This teamwork helps bridge the gap between theoretical research and practical application, leading to impactful solutions.

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

To thrive as a Machine Learning Research Analyst, you need a solid background in mathematics, statistics, and computer science, often demonstrated by a relevant degree or research experience. Proficiency with programming languages like Python or R, familiarity with machine learning libraries (such as TensorFlow or PyTorch), and experience with data analysis tools are typically required. Strong analytical thinking, creativity, and effective communication skills help distinguish top performers in this role. These capabilities enable analysts to develop innovative models, interpret complex data, and clearly present actionable insights to stakeholders.

What is the difference between Machine Learning Research Analyst vs Data Scientist?

AspectMachine Learning Research AnalystData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of ML algorithmsBachelor's or Master's in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, academic institutions, tech companies focusing on ML innovationsBusiness environments, analytics teams, tech companies applying data insights
Employer & Industry UsageResearch institutions, AI startups, tech giants focusing on ML advancementsCorporate, finance, healthcare, and e-commerce sectors leveraging data for decision-making

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Research Analysts focus more on developing and testing new algorithms in research settings. Data Scientists apply these techniques to solve practical business problems, often working directly with large datasets to generate insights and support decision-making.

Infographic showing various Machine Learning Research Analyst job openings in Pompton Lakes, NJ as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,761 per year, or $36.4 per hour.

Machine Learning Research Engineer

New York, NY • On-site

$224K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 hours ago


Job description

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative.  This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

What you'll do

As a Machine Learning Research Engineer, your key responsibilities include:

  • Conducting innovative research on deep learning for price forecasting 
  • Building scalable and robust training and inference pipelines for deep learning
  • Diving into internals of open-source deep learning frameworks and enhance their functionality
  • Collaborating closely with researchers and other engineers
  • Developing an in-depth understanding of trading systems

What you'll get

You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you'll receive:

  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • A highly competitive compensation package
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

  • PhD or equivalent industry experience in a field related to machine learning
  • Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow
  • Experience in programming in Python
  • Experience in computationally intensive research on very large data sets

Nice to have

  • Experience with JAX ecosystem (XLA, Flax, etc.)
  • Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.)
  • Contributions to open-source projects related to data science and machine learning
  • Strong publication record at conferences like NeurIPS, ICML, etc.
  • Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Experience with large-scale distributed training
  • Experience in programming in C++

Who we are

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.