Staff ML Software Engineer

Denver

Requirements - ----------- ### Must have: ### - We require at least 8 years of relevant experience with a bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics; or 6 years of experience with a masters degree; or a PhD plus 3 years of experience, with equivalent experience accepted in place of a degree. - We need strong expertise in Python and modern machine learning frameworks such as PyTorch and Triton. - We require experience with AWS SageMaker or similar cloud-based machine learning platforms. - We expect solid knowledge of software design, data structures, algorithms, and core computer science principles. - We need experience designing, building, and operating scalable, dependable software systems or platforms. - We look for demonstrated ownership and accountability for technical results and system quality. - We require excellent collaboration and communication skills, including the ability to influence technical direction across teams. Responsibilities: - ---------------- - We lead the design, development, and continuous improvement of complex systems, frameworks, or platforms. - We make technical decisions that balance near-term delivery with long-term maintainability and scalability. - We architect new solutions, assess trade-offs, and validate ideas through prototyping, experimentation, or refinement of existing systems. - We take part in and shape code and design reviews across teams to maintain high engineering standards. - We identify opportunities to improve performance, reliability, and scalability, and we drive enhancements to existing systems. - We mentor and support other engineers, helping strengthen technical growth and best practices across teams. - We communicate clearly with engineers, product managers, and other business partners to align on technical direction and execution. - ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Company: - ------- We are Indeed, the worlds number one job site, and our mission is to help people get jobs. We are building an inclusive and accessible workplace where everyone feels comfortable being themselves, and we are growing our teams with people who are excited by innovation and creating an excellent experience for job seekers. This role sits on our Machine Learning Model Platform team and focuses on foundational ML infrastructure supporting areas such as Matching, Recommendation, and the ML model training portal. The position offers a competitive US salary range that varies by pay tier, along with total compensation elements such as quarterly bonuses, RSUs, paid time off, and region-specific benefits. We also provide comprehensive health, work/life harmony, and wellbeing benefits, including medical, dental, vision, disability, and life insurance, a 401(k) plan, open PTO, paid holidays, and up to 26 weeks of paid parental leave. We are committed to equal opportunity, inclusion and belonging, reasonable accommodations, and fair-chance hiring, and we encourage applicants with military experience and equivalent expertise gained through work, training, or education. - ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------