Software Engineer - Machine Learning
Sacramento, CA, United States
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $147,950 -- $227,850 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
As a Software Engineer – Machine Learning, you will work to rapidly develop AI-powered software applications, especially internal business applications. You will work closely with data scientists and other software engineers using the latest tools and technologies.
Below is a description of responsibilities, but this role will require the flexibility to adapt to other duties and responsibilities as needed.
Responsibilities
Lead the productionalization efforts of an AI/ML solution
Work closely with the project team (project lead, data scientists, other engineers) and with business stakeholders to understand requirements and design an AI/ML solution accordingly
Hands-on development of the solution: writing clean maintainable code, configuring infrastructure (automations, monitoring, CI/CD, etc.)
Provides subject matter expertise to the rest of the team, e.g. proactively looking for opportunities to streamline the solution development process
Provides guidance and mentoring to less-experienced team members in the same function
Skills And Profile
Prior software engineering experience with business applications in a cloud environment.
Prior experience deploying, monitoring, and maintaining AI/ML applications in production
Prior experience creating and maintaining machine learning modeling infrastructure
Proficient in Python for production applications
Technologies you may use include: AzureML services, Databricks, SQL, Docker, CI/CD
Prior experience working in a distributed team with diverse backgrounds is a plus. Ability to engage in discussions in a respectful manner is a must.
In this team we value a start-up mindset and a sense of urgency to deliver to our internal customers. The ideal candidate will have experience from a fast-moving SaaS start-up in addition to experience from a large complex organization.
Mastery in English is required.
Education And Length Of Experience
Bachelor's degree in Computer Science or similar, or demonstrated competence, plus typically a minimum of 7-10 years of relevant experience or equivalent. Graduate level (e.g. Master's) degree preferred.
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