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Entry Level Machine Learning Researcher Jobs (NOW HIRING)

Astera Institute

$150K - $300K/yr

Machine learning is a general and scalable solution, but it is not uniformly sample efficient. The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new ...

Apple Inc.

$150K - $225K/yr

Cupertino, California, United States Machine Learning and AI Play a part in building the next revolution in speech and machine learning technology. We're looking for passionate researchers to work on ...

Citadel

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible ...

Apple

AIML - Machine Learning Researcher, MLR

Cupertino, CA · On-site

$150K - $277K/yr

Play a part in building the next revolution in machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role ...

Citadel

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible ...

Citadel

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible ...

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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 Sep 10, 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.

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Entry Level Machine Learning Researcher jobs near you
Infographic showing various Entry Level Machine Learning Researcher job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Researcher - Springtail

Remote

Astera Institute
Scientific Research and Development Services • 1 - 10 employees
Learn more about Astera Instituteexternal

$150K - $300K/yr

Full-time

Posted 14 days ago

Job description

About Astera

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.

Unlike traditional non-profit research organizations, Astera funds and operates projects like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.

Position Summary

Datasets in many areas, science in particular, are often small, heterogeneous, and expensive. Human scientists can take these datasets and generate models to describe them, but this process of model induction is labor-intensive and error-prone. Machine learning is a general and scalable solution, but it is not uniformly sample efficient.

The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new architectures for data-efficient and general model induction. This includes bootstrapped program synthesis, along with components for a system that synthesizes its own learning algorithms - a machine learning strange loop. This is a full time position that reports to Timothy Hanson.

Responsibilities

  • Hypothesize, test, and refine means of improving generalization performance of common architectural elements, including different forms of attention. This includes devising controlled datasets to elucidate e.g. learning order & learned representations.

  • Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning and an open mind to the many forms of constrained optimization.

  • Contribute to a well-documented and well-instrumented code base that is performant where necessary yet expeditious where experimental throughput demands.

Qualifications and Experience

  • Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply).

  • Fluency with Pytorch, and familiarity with JAX, CUDA, and/or Triton + their open-source ecosystems.

  • Demonstrated ability do fundamental research.

  • Demonstrated ability to work in teams.

Location

This position is hybrid at our office in Emeryville, CA. Some travel may be required from time-to-time for in-person collaboration and work.

Compensation

The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

  • Benefits summary

Compensation Range: $150K - $300K