Freenome
Freenome

6 Freenome Machine Learning Engineer Jobs Hiring Near You

Senior Software Engineer II

$125K - $165K/yr

Preferred : • Understanding of statistical and machine learning methods, with practical ... Freenome is a biotechnology company developing blood tests for early cancer detection to improve ...

By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective.

Research Scientist I/II

Brisbane, CA · On-site

$132K - $167K/yr

At Freenome, you will help develop the assay technologies used to analyze patient samples and ... You will also work closely with computational biologists and machine learning scientists to provide ...

Research Scientist I/II

Brisbane, CA · On-site

$132K - $167K/yr

At Freenome, you will help develop the assay technologies used to analyze patient samples and ... You will also work closely with computational biologists and machine learning scientists to provide ...

The Vice President of Product Management will own the development and execution of Freenome ... Coach and develop a multi-disciplinary team, fostering a culture of continuous learning and growth.

The Vice President of Product Management will own the development and execution of Freenome ... Coach and develop a multi-disciplinary team, fostering a culture of continuous learning and growth.

Senior Software Engineer II

Freenome

Remote

$125K - $165K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Freenome is an innovative company focused on detecting cancer early, and they are seeking a Senior Software Engineer II to join their Engineering team. The role involves designing, building, and maintaining backend services while collaborating with interdisciplinary teams to deliver high-quality software solutions.
Responsibilities:
• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems.
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high-quality software solutions.
• Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise.
• Lead code and design reviews, champion engineering best practices and promote a culture of quality and collaboration.
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration.
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems.
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.
Qualifications:
Required:
• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience.
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others.
• Proficiency in Python and experience with backend development in a team production environment.
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance.
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration.
Preferred:
• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems.
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar.
• Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.
• Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices.
Company:
Freenome is a biotechnology company developing blood tests for early cancer detection to improve access to routine screening. Founded in 2014, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.