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Senior Software Engineer, Machine Learning

  • Job type Posted on: Jul 16, 2026
  • Experience level Verily Life Sciences
  • Employment type Mountain View, California
  • Remote status Salary: $148,000 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Software Engineer, Machine Learning

Job Type :

Full-time

Job Location :

Mountain View California United States

Remote :

No

Jobcon Logo Job Description :

Responsibilities Architect, design, and develop high-quality AI/ML software solutions to meet project requirements, ensuring scalability and performance. Collaborate with cross-functional teams and technical leads to define and refine technical specifications, taking ownership of design oversight, scoping and project deliverables. Mentor and coach junior engineers, fostering a culture of learning and continuous improvement within the subteam. Participate in code reviews to maintain code quality and uphold best practices, promoting a culture of excellence. Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems. Qualifications Minimum Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of experience in SW, cloud engineering or ML engineering with a BS degree (3+ years of experience with an MS degree). Proficiency in at least one major programming language (e.g., Python, Java, Go). Proven track record of delivering high-impact, production-quality software in the cloud. Experience with ML tools and platforms such as notebooks, VertexAI. Preferred Qualifications Experience with CI/CD and Infrastructure tools like Terraform, GitHub. Proficiency in Go or Python. Experience in building model training and deployment environments in the cloud. The US base salary range for this full-time position is $148,000 - $210,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 16, 2026

Reference Number:

14660_351FAA829A59E04E22E875E2FC35C3FF

Employment:

Full-time

Salary:

Not Available

City:

Mountain View

Job Origin:

APPCAST_CPC

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Responsibilities Architect, design, and develop high-quality AI/ML software solutions to meet project requirements, ensuring scalability and performance. Collaborate with cross-functional teams and technical leads to define and refine technical specifications, taking ownership of design oversight, scoping and project deliverables. Mentor and coach junior engineers, fostering a culture of learning and continuous improvement within the subteam. Participate in code reviews to maintain code quality and uphold best practices, promoting a culture of excellence. Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems. Qualifications Minimum Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of experience in SW, cloud engineering or ML engineering with a BS degree (3+ years of experience with an MS degree). Proficiency in at least one major programming language (e.g., Python, Java, Go). Proven track record of delivering high-impact, production-quality software in the cloud. Experience with ML tools and platforms such as notebooks, VertexAI. Preferred Qualifications Experience with CI/CD and Infrastructure tools like Terraform, GitHub. Proficiency in Go or Python. Experience in building model training and deployment environments in the cloud. The US base salary range for this full-time position is $148,000 - $210,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. #J-18808-Ljbffr

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