Verified senior machine learning engineer opportunities at the 200K+ tier, with current observed ranges around $163k-$270k and direct application links from hiring teams.
Frontier AI companies are increasingly bottlenecked on expert judgment — capturing it reliably, validating it at scale, and turning it into durable model behavior. This role sits at the center of that problem.
Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads. Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
Designing end-to-end solutions for Prediction and AV stack using state of the art ML techniques to enable agents prediction across various driving environments from complex intersections to rural curvy roads to multi-level highways.
The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment.
Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses. Developing data pipelines and integrating large-scale data, training, and inference systems.
Leverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation, and advertiser experience. Own and operate systems and products, driving the majority of revenue.
Designing and architecting recommendation algorithms across various product surfaces. Leverage all of SpaceXSI's infra and AI stacks to dramatically enhance the user experience. Write data pipelines and training jobs that continuously learn from product data.
Research and prototype state-of-the-art approaches across graph machine learning, sequential modeling, and multimodal learning to build next-generation fraud detection capabilities.
Plaid · 2mo ago
Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability.
Build hands-on machine learning expertise across the full ML lifecycle, from feature engineering and experimentation to model deployment. Take models from initial experimentation through production and evaluate their impact using real-world customer outcomes.
Plaid · 2mo ago
The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The Core ML team is responsible for driving Airbnb Assistance Engineering initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience.
As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data.
This role sits at the intersection of ML workloads, execution systems, and engineering leverage.
As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s…
Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions.
As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.
Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit’s business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production.
Our partner is looking for a Senior Machine Learning Engineer, Inference based in the United States. Join a high-performing engineering team developing advanced real-time voice and large language model (LLM) technology.
Join a small, senior engineering team building the ML systems behind consumer-facing products. You will shape the data pipelines, models, retrieval systems, and inference infrastructure that make intelligent product features useful and intuitive.
True Talent Solutions Partners · 6d ago
Join a small, early-stage AI team building a recommendation system for personalized advertising. You will own the matching stack end to end, from data and models through real-time serving, and help shape the system's technical priorities as it scales.
RobloxNew · 1d ago
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Roblox · 7d ago
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Matchmaking is a critical stage downstream of Discovery and Search.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production.
At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations.
Anduril Industries · 28d ago
Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. MDP operates at the boundary between Operational Technology and Information Technology.
We are hiring Sr ML Engineers across two teams. Admin Central is building the future of how administrators work across Workday—turning a fragmented patchwork of tools and disconnected AI into a single, unified experience.
Evaluation: Develop datasets and specialized models & algorithms to evaluate/benchmark models & end-to-end systems in our core safety tracks (LLM Security, Agentic Safety, Content Safety, Hallucinations, and ML Fairness).
Our Monetization team works on challenging problems every day.
Design, build, and scale the recommendation systems that connect new users to communities and content, from candidate generation and ranking through to online serving.
The ML Infrastructure team builds and operates the inference stack that serves SambaNova's models on RDU accelerators, from request scheduling and caching through the public APIs in SambaStack and SambaCloud.
Join an AI-focused team building the systems layer for a process intelligence platform. You will turn complex enterprise data into reliable, useful product experiences powered by hosted AI models.
Lead the design and development of large-scale RL training frameworks to accelerate the development of multi-modal AV foundation models. Design, build, and optimize simulation and data processing pipelines to enable scalable training of driving policies.
Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases.
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