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Machine Learning Scientist Jobs (NOW HIRING)

Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly in areas such as ...

For more information about Spotter, please visit Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production ...

... machine learning models, requiring a strong background in data engineering and model training ... scientist ratio of >100x. Qualifications : Required : • 5+ years experience training ...

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to ...

Description MyOme is looking for a world-class machine learning scientist to join us on our mission to help people maximize the value of their genomic information. You will report to the head of ...

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

Senior Machine Learning Scientist

San Jose, CA · Remote

$107K - $146K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our ...

They are seeking a highly motivated, product-oriented Machine Learning Scientist to join their core R&D team and have a direct impact on key positioning algorithms and models. Responsibilities : • ...

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to ...

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Machine Learning Scientist information

What is a Machine Learning Scientist job?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What are the typical daily tasks and collaboration opportunities for a Machine Learning Scientist?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

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

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

More about Machine Learning Scientist jobs
What cities are hiring for Machine Learning Scientist jobs? Cities with the most Machine Learning Scientist job openings:
What are the most commonly searched types of Machine Learning Scientist jobs? The most popular types of Machine Learning Scientist jobs are:
Who are the top companies hiring for Machine Learning Scientist jobs? The top employers for Machine Learning Scientist jobs are:
What states have the most Machine Learning Scientist jobs? States with the most job openings for Machine Learning Scientist jobs include:
Infographic showing various Machine Learning Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Machine Learning Scientist / Senior Machine Learning Scientist

Machine Learning Scientist / Senior Machine Learning Scientist

Calico Life Sciences

South San Francisco, CA • On-site

$109K - $150K/yr

Full-time

Posted 6 days ago


Job description

Job Summary:
Calico Life Sciences is an Alphabet-founded research and development company focused on understanding human aging. They are seeking a Senior Machine Learning Scientist to develop deep learning models for analyzing genomic sequences and to collaborate with experimental scientists to translate computational findings into biological insights.
Responsibilities:
• Design and train deep learning models for biological sequence analysis, with emphasis on gene regulation, single-cell genomics, and variant interpretation
• Partner with experimental scientists to connect model predictions to biological mechanisms — designing validation experiments, analyzing large-scale genomics data, and translating computational findings into actionable biological insights
• Communicate research through publications, open-source software, and public-facing tools
Qualifications:
Required:
• PhD in computational biology, bioinformatics, computer science, or a related field, and 0-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of additional training in an industry or academic setting, with a strong publication record
• Deep expertise in machine learning with solid grounding in algorithms, data structures, and statistics
• Substantive knowledge of molecular biology and genetics; familiarity with genomic data types and public data resources
• Hands-on experience analyzing genomics sequencing data, ideally including single-cell assays
• Fluency with modern AI-assisted development and research tools (e.g., LLM-based coding assistants, literature synthesis), with a habit of proactively integrating new tools to accelerate scientific workflows
• A collaborative disposition, strong follow-through, and comfort working at the interface of computation and experiment
• Must be willing to work onsite at least four days per week
Company:
Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies. Founded in 2013, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.