Our Mission

Day to Day

As a Software Engineer IV (ML) on the Machine Learning Model Platform team at Indeed, you will be responsible for leading and executing key objectives for the Model Platform team, which includes providing support for critical entities like Matching and Recommendation systems, ML model training portal, etc. You will be expected to design and build high-performance, reusable components utilized by hundreds of ML practitioners to transition from research to production impact, covering the entire ML model lifecycle.

In this role, you will operate at the intersection of software engineering and machine learning, developing foundational components that facilitate diverse ML model strategies with exceptional performance and scalability. You will engage in close collaboration with Data Scientists to ascertain their requirements, spearhead technical design choices, contribute to workflow optimization, and directly support the achievement of their key objectives. You'll play a critical role in evolving our tech stack to stay in line with cutting-edge industry technologies.

Responsibilities

• Own the design, development, and evolution of complex systems, frameworks, or platforms.
• Drive technical decision-making, balancing short-term delivery with long-term maintainability and scalability.
• Architect new solutions, evaluate trade-offs, and validate ideas through prototyping, experimentation, or iteration on existing systems.
• Participate in and influence code and design reviews across teams to uphold high engineering standards.
• Identify performance, reliability, and scalability improvements and drive enhancements to existing systems.
• Mentor and guide other engineers, supporting technical growth and best practices across teams.
• Communicate clearly and effectively with engineers, product managers, and other business partners to align on technical direction and execution.

Skills/Competencies

• Requires a minimum of 8 years of related experience with a Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics; or 6 years and a Master’s degree; or a PhD with 3 years experience; equivalent experience may substitute for degree requirements.
• Expertise in Python and modern ML frameworks like PyTorch & Triton.
• Experience with AWS SageMaker or other cloud-based ML platforms.
• Proficiency in software design, data structures, algorithms, and computer science fundamentals.
• Experience designing, building, and operating scalable, reliable software systems or platforms.
• Demonstrated ownership and accountability for technical outcomes and system quality.
• Excellent collaboration and communication skills, with the ability to influence technical direction across teams.

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Reference ID: 46816

Reference ID: 46816