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20 Billiontoone Machine Learning Engineer Jobs Hiring Near You

BillionToOne

Senior Scientist, Oncology

Menlo Park, CA · On-site

$107.80K - $147.30K/yr

... and machine learning approaches that uncover patterns across genomic alterations, treatment ... BillionToOne is a precision diagnostics company that focuses on genetic testing for disease ...

BillionToOne

Senior Scientist, Oncology

Menlo Park, CA · On-site

$107.80K - $147.30K/yr

BillionToOne is seeking a Senior Scientist, Real-World Evidence, Oncology to help unlock insights ... machine learning, or advanced analytics to biomedical or healthcare datasets. * Strong programming ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site +1

$251.86K/yr

... machine learning, or advanced analytics to biomedical or healthcare datasets. * Strong programming ... BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race ...

BillionToOne

Senior Scientist, Oncology

Menlo Park, CA · On-site +1

$251.86K/yr

... machine learning, or advanced analytics to biomedical or healthcare datasets. * Strong programming ... BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site

$107.80K - $147.30K/yr

BillionToOne is seeking a Senior Scientist, Real-World Evidence, Oncology to help unlock insights ... machine learning, or advanced analytics to biomedical or healthcare datasets. * Strong programming ...

BillionToOne

Senior Software Engineer

Menlo Park, CA · On-site

$144.40K - $190.30K/yr

Software engineers at BillionToOne work in highly collaborative and interdisciplinary teams of ... and collaborative learning. * Demonstrate a creative and out-of-the-box mindset, offering ...

BillionToOne

Senior Software Engineer

Menlo Park, CA

$144.40K - $190.30K/yr

Software engineers at BillionToOne work in highly collaborative and interdisciplinary teams of ... and collaborative learning. * Demonstrate a creative and out-of-the-box mindset, offering ...

BillionToOne

Senior Software Engineer

Menlo Park, CA · On-site

$144.40K - $190.30K/yr

Software engineers at BillionToOne work in highly collaborative and interdisciplinary teams of ... and collaborative learning. * Demonstrate a creative and out-of-the-box mindset, offering ...

BillionToOne

Senior Software Engineer

Menlo Park, CA

$144.40K - $190.30K/yr

Software engineers at BillionToOne work in highly collaborative and interdisciplinary teams of ... and collaborative learning. * Demonstrate a creative and out-of-the-box mindset, offering ...

BillionToOne

Senior Software Engineer, Prenatal

Menlo Park, CA · On-site

$144.40K - $190.30K/yr

Software engineers at BillionToOne work in highly collaborative and interdisciplinary teams of ... Foster a culture of ownership, technical excellence, learning, and continuous improvement within ...

BillionToOne

Designer

Menlo Park, CA · On-site

... At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where ... Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment ...

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BillionToOne Jobs Information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What other companies are hiring for Machine Learning Engineer jobs?
What are the most popular jobs at Billiontoone?
What are the most popular categories at Billiontoone?
Infographic showing various Machine Learning Engineer job openings at Billiontoone in the United States as of May 2026, with employment types broken down into 5% Internship, 91% Full Time, and 4% Part Time. Highlights an 87% Physical, and 13% Remote job distribution.
Senior Scientist, Oncology

Senior Scientist, Oncology

BillionToOne

Menlo Park, CA • On-site

$107.80K - $147.30K/yr

Full-time

Posted 27 days ago

Job description

Job Summary:
BillionToOne is a next-generation molecular diagnostics company focused on transforming healthcare through innovative genomic solutions. They are seeking a Senior Scientist in Oncology to develop AI-powered tools and analytical approaches that leverage genomic and clinical data for actionable insights in precision medicine.
Responsibilities:
• Leverage BillionToOne’s integrated datasets of Northstar genomic sequencing results and real-world clinical data from patients we serve to generate clinically meaningful insights and real-world evidence (RWE).
• Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes, supporting internal research and improving how genomic test results inform clinical decision-making.
• Develop AI-powered tools that enhance the clinical utility of BillionToOne’s diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results to assist oncologists in making more personalized treatment decisions.
Qualifications:
Required:
• PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field is required.
• Deep understanding of genomic data, oncology biology, and clinical medical data.
• Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets.
• Strong programming and data science skills (Python and modern ML frameworks).
• Experience working with real-world clinical datasets (EHR, clinical records, registries, or similar).
• Ability to analyze and integrate multimodal biomedical datasets, including genomics, clinical data, and biomedical literature.
• Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups.
Preferred:
• Experience working with oncology real-world datasets.
• Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction.
• Experience integrating genomic sequencing data with clinical outcomes data.
• Track record of research publications or applied AI systems in healthcare or life sciences.
Company:
BillionToOne is a precision diagnostics company that focuses on genetic testing for disease detection. Founded in 2016, the company is headquartered in Menlo Park, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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