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Machine Learning Research Scientist Jobs (NOW HIRING)

SmarterDx

Senior Machine Learning Research Scientist

$220K/yr

Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

They are seeking a Senior Machine Learning Research Scientist to lead the development of advanced algorithms and methodologies, mentor junior researchers, and manage complex research initiatives.

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

They are seeking a Senior Machine Learning Research Scientist to lead the development of advanced algorithms and methodologies, manage research programs, and mentor junior researchers in their ...

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

As of Jun 4, 2026, the average yearly pay for machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Scientist position, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.
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Machine Learning Research Scientist jobs near you

Machine Learning Research Scientist

Autoscience Institute

Menlo Park, CA • On-site, Remote

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Research Scientist

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.

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.

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.

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).

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.

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

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

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

Competitive salary and equity package

Unlimited PTO and flexible working arrangements

Conference attendance and publication support

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.

Apply