In this role, you’ll help build and lead a team of ML engineers, collaborate with cross-functional partners, and lead the technical vision for our ML initiatives to ensure our products and solutions are reliable, efficient and impactful for our clients. We expect our engineering leads to be deeply technical and hands on keyboard. This role is ideal for someone who enjoys solving complex technical challenges, has a strong track record of deploying ML pipelines in production, and thrives in dynamic, customer-focused environments.
As a Senior Software Engineer on the AI team, bring your expertise in data engineering and ML Ops to help the team move faster and achieve critical revenue goals for Keebo. You will work closely with the AI engineers to understand their data and training needs, design and implement an improved ML platform that balances cost and speed of development, and have an opportunity to do AI/ML engineering yourself.
This person will be instrumental in architecting, implementing, and maintaining foundational Machine Learning Training infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. They will oversee GPU optimization in AI/ML batch workloads and debug performance bottlenecks in GPU workloads. They will build and own systems and tools that enable MLEs and data scientists.
As a Machine Learning Engineer on our Audience Intelligence team, you will play a pivotal role in this transformation and be responsible for designing and developing the machine learning models that generate new user intelligence at scale. You will focus on modeling excellence and partner tightly with the team's software engineers to integrate your model-produced intelligence into the broader advertising ecosystem. Your work will directly enhance our ability to understand users and improve advertiser outcomes.
VetsEZ is seeking an AI Product Engineer to drive the development and integration of advanced AI capabilities into customer-facing products and platforms. This role is for someone who thrives at the intersection of machine learning, product innovation, and full-stack engineering. You will partner closely with product managers, designers, and engineers to shape intelligent solutions that solve meaningful problems at scale. The candidate must reside within the continental US.
Design, build, and deploy AI-powered software solutions to support Greenlight’s AI initiatives across user-facing products, fraud detection, customer service automation, marketing automation, and more. Develop tools and infrastructure to support advanced AI workflows including agentic architectures as well as future work in distillation and fine-tuning. Partner with product managers and cross-functional engineering teams to bring new AI features to life quickly and iteratively.