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Entry Level Deep Learning Research Jobs (NOW HIRING)

Optiver

Machine Learning Research Engineer

Manhattan, NY · On-site

$200K/yr

Conduct innovative research on deep learning for price forecasting * Build scalable and robust training and inference pipelines for deep learning * Dive into internals of open-source deep learning ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Conduct innovative research on deep learning for price forecasting * Build scalable and robust training and inference pipelines for deep learning * Dive into internals of open-source deep learning ...

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Entry Level Deep Learning Research information

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How much do entry level deep learning research jobs pay per month?

As of Jun 17, 2026, the average monthly pay for entry level deep learning research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.
What are the most commonly searched types of Deep Learning Research jobs? The most popular types of Deep Learning Research jobs are:
Entry Level Deep Learning Research jobs near you
Infographic showing various Entry Level Deep Learning Research job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Machine Learning Research Scientist

Autoscience

Menlo Park, CA • On-site

Full-time

PTO

Posted 6 days ago

Job description

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

  • Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.

  • Collaborate with the engineering team to build and deploy production-ready research systems.

  • RL post-train and fine-tune reasoning models to automate components of the machine learning research process.

  • Stay current with the latest developments in AI research and automation.

Qualifications:

  • Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.

  • Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc).

  • Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.

  • Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.

Recommended Qualifications

  • Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).

  • Science: Any background or proven interested in Automated Scientific Research is a plus.

Benefits & Perks

  • Our comp is competitive against major LLM frontier lab packages

  • Unlimited PTO and flexible working arrangements

  • Conference attendance and publication support

Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development
We are an e-verify employer.