…platforms form a new integration layer, connecting models, data, and enterprise systems into end-to-end workflows. We’re looking for Forward Deployed Engineers…

…platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions. Mission Data Analysis – Analyze mission logs and performance data…

…Our best engineers align with team priorities while pushing back with data when they see problems. THE WORK - Design and build core systems that…

…As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape…

…Staff TLM. You will: Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration Build a data…

…as a Senior Staff Software Engineer, where you will be working with an exceptional team to lead mission-critical, data-intensive projects that directly…

…computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know…

…We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers…

…Full ML Lifecycle: Experience taking models from conception to production (scoping, data analysis, training, debugging, evaluation, benchmarking, and deployment). Engineering Excellence: Excellent software development…

…You will be leading ML, Data and Product engineers to drive ML applications. A core focus of your work will be spearheading Machine Learning…

…and data processing pipelines. - Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure. - Design…

…Electrical Engineering, Physics, Mathematics, or a related quantitative discipline Direct experience leading the architecture or core development of matching engines, market data processing systems…

…s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer…

…About You Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation. Deep understanding of ML fundamentals with…

…The AI Security Engineering team at Databricks builds the security tools, detection systems, and engineering infrastructure that protect Databricks' AI platform and the AI…

We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team…

…the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this…

…7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases…

…About This Role We’re seeking a Staff Product Security Engineer with deep AI/ML security expertise to strengthen Crusoe’s security posture across…

…systems. - Experience in vector databases. - A relevant degree in Computer Science, Mathematics or related fields. PREFERRED QUALIFICATIONS: - Familiarity with MLOps practices and deployment pipelines…

…throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines…

…valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is…

…valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is…

…Staff Engineer/Engineering Director who will be responsible for the design, deployment, optimisation, and full lifecycle management of enterprise-level cloud database platforms. Lead…

…Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products…