Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Our Mission

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As a Software Engineer III on the ML 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 such as Matching and Recommendation systems. You will be expected to design and construct high-performance, reusable components utilized by hundreds of ML practitioners to transition from research to production impact.

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 techstack to stay in line with cutting-edge industry technologies.

• Lead the design, development, and evolution of complex platform components including Indeed’s model platform portal.
• Build and optimize scalable components for the entire ML model lifecycle.
• Architect new solutions, evaluate trade-offs, and validate through prototyping & experimentation.
• Integrate and consolidate critical ML systems (serving, feature stores, observability).
• Mentor and guide engineers on technical growth and best practices.
• Collaborate with Product, Data Science, and Infrastructure to build platform capabilities & guide the overall architecture.

• Bachelor's degree in Computer Science/Computer Engineering
• 6+ years of professional software engineering experience, including complex/large-scale systems.
• Expertise in Python and modern ML frameworks like PyTorch & Triton.
• Experience with AWS Sage Maker or other cloud-based ML platforms.
• Fullstack engineering experience.
• Demonstrated ownership and accountability for technical outcomes and system quality.
• Excellent collaboration and communication skills, with ability to influence technical direction across teams.

United States Remote $143, USD per year

Austin Metro Area $143, USD per year

Scottsdale Metro Area $143, USD per year

Seattle Metro Area $184, USD per year

San Francisco Metro Area $196, USD per year

New York City Metro Area $184, USD per year

The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region‑specific benefits.

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity‑based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave.

For more information, select your country and learn more about our employee benefits, program, & perks at  !

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment…