Join Calendly's Data Science & Machine Learning team to design, build, and operate AI-powered features end-to-end. The role requires 6+ years of industry experience shipping and running production ML applications, experience with GenAI/foundation models (fine-tuning, prompt engineering), strong programming (Python/Scala/Java/SQL) and data engineering skills, and participation in on-call/incident response. Candidates must be authorized to work in the United States.

Sardine seeks a Senior Data/ML Engineer to own end-to-end data ingestion, feature pipelines, and production ML for onboarding and fraud/KYC use cases. The role requires building streaming and batch pipelines (Beam/Flink/Spark), feature platforms, productionizing models (Vertex AI/Kubeflow), and ensuring correctness, privacy, and low-latency serving. Remote - United States or Canada; 8+ years experience, deep Python and SQL, and strong cloud data stack experience (GCP preferred).

Cloudera seeks a seasoned Forward Deployed AI Engineer to work within the Forward Deployed Engineering (FDE) team: embed with customers, build and prototype full-stack AI/ML and agentic applications, advise on enterprise AI architecture, codify repeatable solution patterns, and mentor teams. Requires 7+ years building and deploying production systems, with 2–4 years on ML/GenAI systems; experience with foundation models, RAG, LLMOps/MLOps, cloud platforms, and enterprise deployment standards. Role is remote in Ireland with occasional on-site customer engagement; not eligible for immigration support or relocation.

Arize AI is hiring an Open Source AI Engineer skilled in TypeScript and LLM tooling to design and open-source libraries, pipelines, and APIs for monitoring and evaluating LLMs. The role involves community collaboration, prototyping LLM techniques, improving observability/debugging, and producing docs and tutorials. Position is fully remote with US as the stated location; estimated annual pay $185,000–$200,000 USD.

Senior/Staff engineering role focused on building and securing CI/CD and AI-driven product experiences across Chainguard's suite (including GitHub Actions, agent features, and hardened builds). Responsibilities include owning features end-to-end, contributing to architecture, working with Product and front-end teams, and extending agentic AI into customer-facing products. Required: 10+ years software development experience, proficiency with containers, artifact registries, Docker, Kubernetes, experience building/securing CI/CD systems, and Go or strong readiness to ramp; experience with AI tooling and strong English communication skills.

Chainguard seeks a Senior Software Engineer (AI CICD) to build and secure CI/CD systems and extend agentic AI into product experiences. Requires 5+ years' software development experience, expertise with containers, Docker, Kubernetes, artifact registries, proficiency with Go or willingness to ramp, and experience with AI tooling. Remote roles available for the United Kingdom, United States, and Europe.

Hands-on Technical Product Manager role focused on designing and delivering production AI Agent applications for Veeva QualityDocs (quality content management) and Veeva Training (LMS). Responsibilities include AI product feature design and development, data flow and orchestration, prompt design, model integration, and collaborating with engineering and UX. Requires 5+ years enterprise SaaS product/engineering/consulting experience with 2+ years focused on AI/ML, coding in Python, experience with AI frameworks/APIs, and strong communication and collaboration skills. Base pay listed: $75,000–$165,000 per year. Must be based in or within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager (AI) to design and deliver AI agent solutions for Veeva QualityDocs (regulated quality content management) and Veeva Training (LMS). Role involves hands-on design and development of AI features, building production AI agent applications (data flow, orchestration, prompts), working with engineering and UX to automate business processes, and presenting capabilities to stakeholders. Requires 5+ years enterprise SaaS product/technical experience (2+ years on AI/ML), coding in Python, familiarity with AI frameworks/APIs, LLMs, prompt engineering, and the ability to be located within one hour of the Eastern Time zone. Travel ~20%.

Veeva seeks a Technical Product Manager to lead design and delivery of AI agents that extract document content into structured data for Veeva Quality Cloud. Responsibilities include hands-on AI agent design, data flow and orchestration, model integration, and collaboration with engineering and UX. Requirements: 5+ years enterprise SaaS product/engineering/consulting experience, 2+ years on AI/ML applications, Python coding, experience with AI frameworks/APIs, LLMs and prompt engineering. Base salary range listed: $75,000–$165,000. Must be located within one hour of Eastern Time and able to travel ~20%.

Lead a team of machine learning engineers responsible for sourcing and shaping candidate inventory for Reddit's personalized feeds. Responsibilities include defining technical vision and roadmap for Feed Retrieval, overseeing design and optimization of retrieval systems, establishing measurement and experimentation practices, collaborating with ML platform and product teams, maintaining system performance and reliability, and recruiting/hiring. Qualifications include 2+ years managing ML or recommender-systems teams and hands-on experience with large-scale production ML (recommenders, embeddings, transformers/LLMs). Base salary range listed: $253,300–$354,600 USD per year.

Manage the Feed Ecosystems team to define technical vision and roadmap for recommender-system investments; oversee design and delivery of ML systems for cold-start relevance, post/community distribution, and feed quality; partner with product, design, data science, safety, ads, and platform teams; and hire and develop ML engineering talent. Requires 2+ years leading ML or recommender-systems teams and hands-on experience with large-scale production ML.

Lead hands-on security testing and threat research for GenAI, agentic systems, and LLM-backed products, translating findings into detection content and protections. Requires experience with penetration testing or red teaming, familiarity with LLM behaviors and testing tools, ability to write/validate detections (e.g., EQL/KQL/ESQL), and experience integrating AI/ML frameworks and LLM APIs into production.

Bitovi seeks an experienced full-stack engineer (remote contractor, focused on candidates in Ghana) with 5+ years building web/mobile applications. Responsibilities include AI-enabled feature development, building design systems and web components, architecting frontend and service layers, implementing deployment/infrastructure best practices, and occasional travel to client sites. Required skills include JavaScript-based full-stack development, AI tooling (e.g., Claude Code or Copilot), cloud platform experience (AWS/GCP/Azure/Vercel), CI/CD and light DevOps, database schema design, and familiarity with Temporal and related workflow tooling.

Manage and scale an engineering team developing and optimizing open-source deep learning inference frameworks (examples: SGLang, vLLM, FlashInfer) for NVIDIA GPUs. Responsibilities include roadmap and execution, cross-team partnership with compiler and libraries teams, performance tuning and profiling of LLMs and multimodal models, and fostering technical excellence. Requires MS/PhD or equivalent, 6+ years software development experience (including 3+ years in technical leadership), strong C/C++ skills, GPU programming experience (CUDA, Triton, CUTLASS), and production experience deploying or optimizing deep learning models.

DoiT seeks a Senior Cloud Architect for its Forward Deployed Engineering Delivery team (remote in Canada). The role requires hands-on design and implementation of production-grade ML and Generative AI solutions on AWS (including Bedrock and SageMaker), driving cost, reliability, security, and observability improvements, converting field solutions into reusable patterns, and embedding within account teams to improve product adoption and customer health. Requires 4+ years architecting, deploying, and managing cloud-based AI/ML solutions.

Work on Elasticsearch's Search Relevance team (based in Ireland) to design and implement search features, improve relevance (including contributions to Lucene), and develop vector search capabilities (HNSW, IVF). The role involves writing idiomatic modern Java, collaborating with a globally distributed team, triaging and handling community pull requests, and contributing to open-source workflows.

Partner with enterprise customers, platform teams, and ecosystem partners (e.g., NVIDIA) to evaluate AI readiness, conduct deep technical discovery, build lightweight proofs of concept and reference architectures, and define engineering requirements and success criteria to hand off production work to engineering teams.

Cloudera seeks a senior/principal Forward Deployed AI Engineer to embed with customers, develop full-stack AI/ML applications and agentic systems, advise on enterprise AI architecture, codify repeatable solution patterns, and help move prototypes to production. Role expects 7+ years experience (including 2–4 years building ML or GenAI systems), occasional travel (up to ~20%), and experience with foundation models, RAG, LLMOps/MLOps, cloud platforms, and data infrastructure.

Cloudera seeks a mid-senior Forward Deployed AI Engineer to embed with customers, prototype and ship production-ready AI and agentic applications, and standardize solution patterns. The role requires 7+ years building and deploying production-grade systems (including 2–3 years with generative AI/agentic apps), expertise in foundation models, RAG, LLMOps/MLOps, and experience with cloud and AI infrastructure; occasional travel up to ~20% is expected.

Embed with strategic enterprise customers to design, prototype, and ship scalable AI/GenAI/agentic solutions on Cloudera. Responsibilities include building full‑stack ML applications, advising on enterprise AI architecture, codifying repeatable solution patterns, mentoring teams, and driving MLOps/LLMOps practices. Requires 7+ years experience; occasional travel up to ~20%. Role is not eligible for immigration support or relocation.