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Entry Level Machine Learning Researcher Jobs (NOW HIRING)

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

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Entry Level Machine Learning Researcher information

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$30K

$113.1K

$164.5K

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

As of May 30, 2026, the average yearly pay for entry level machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Machine Learning ResearcherData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some research experienceBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness analytics teams, tech companies, consulting firms
Employer & Industry UsageResearch-focused roles in academia, tech, or research institutionsData-driven decision making in various industries like finance, healthcare, tech

While both roles involve working with data and algorithms, an Entry Level Machine Learning Researcher primarily focuses on developing new algorithms and advancing machine learning techniques in research settings. In contrast, a Data Scientist applies existing models to solve business problems, interpret data insights, and support decision-making across industries.

More about Entry Level Machine Learning Researcher jobs
What cities are hiring for Entry Level Machine Learning Researcher jobs? Cities with the most Entry Level Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What job categories do people searching Entry Level Machine Learning Researcher jobs look for? The top searched job categories for Entry Level Machine Learning Researcher jobs are:
Infographic showing various Entry Level Machine Learning Researcher job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 11% Physical, 65% Hybrid, and 24% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Quantitative Researcher - Machine Learning

Quantitative Researcher - Machine Learning

Point72

New York, NY • On-site

Full-time

Posted 22 days ago


Job description

JOB RESPONSIBILITIES:
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
  • Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
  • Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
  • Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:
  • Master's or PhD in machine learning, computer science, statistics, or related fields.
  • Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
  • Prior research experience utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and a detail-oriented mindset.
  • Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
  • Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Commitment to the highest ethical standards.