Lead technical direction for evaluating and scaling conversational search and agent quality (RAG, agents, tools, retrieval, citations, memory). Define evaluation strategies, metrics, and decision frameworks; prototype and productionize evaluation pipelines and telemetry; collaborate with engineering, product, and UX; mentor data scientists. Requires 8+ years applied DS/ML experience with expertise in IR, NLP, ranking, semantic search, RAG/LLM systems and hands-on experience with Python, PyTorch/Transformers, and Elasticsearch.

Nationwide seeks a Predictive/Pricing Modeler (remote, U.S.) to develop and maintain commercial insurance pricing and risk models. Responsibilities include predictive modeling, quantitative risk modeling, model validation, documentation, and partnering with business stakeholders. Typical qualifications: undergraduate degree in a quantitative field, ~5+ years related experience, familiarity with actuarial concepts, and experience with R, Python, SQL and statistical/machine learning techniques. National salary range listed: $118,000–$222,000 per year.

Join the Agentic Data team to design and implement high-scale systems for agent data access, governance, telemetry, and auditability. The role requires leading technical direction, partnering with product and security teams, hands-on coding, and strong knowledge of LLM lifecycles, agentic frameworks (e.g., LangChain), distributed data systems, and at least 8 years of industry experience.

Work with cross-functional teams to leverage Doximity datasets to identify and classify behavioral patterns, create product and client-facing analytics, and inform data team strategy. Requires 2+ years as a data analyst or data scientist, strong SQL, Python (Pandas/NumPy), visualization and storytelling skills, knowledge of statistical/EDA techniques, and exposure to distributed processing (e.g., Spark).

Staff-level, hands-on role to build ML-driven governance and security capabilities (e.g., prompt injection detection, behavioral anomaly detection, trust scoring, policy recommendations). Responsibilities include designing and shipping models, building data pipelines, feature stores, model serving and evaluation harnesses, and owning model lifecycle and architecture. Qualifications include 5+ years applied ML/AI experience, 4+ years professional software engineering, experience with LLM systems (evaluation, prompt engineering, fine-tuning, retrieval), and production ML infrastructure. Role may require participation in a 24/7 on-call rotation. Docker considers visa sponsorship on a case-by-case basis.

Join CrowdStrike's GTM IT Apps team as an AI Engineer to design and deliver agentic AI solutions and enterprise AI platform patterns (model routing, orchestration, memory, multi-tenant isolation). You will build LLM-powered workflows and autonomous agents, implement CI/CD and infrastructure-as-code across AWS Bedrock/Vertex AI, operate observability and DevSecOps practices, and integrate AI backends with Salesforce and other GTM systems. Requires 5+ years of software engineering experience and hands-on proficiency with Python, TypeScript/JavaScript, LLM/agent frameworks, CI/CD, containers, and Salesforce development.

The role provides technical presales expertise to drive partner adoption of Red Hat’s AI platform across EMEA, including delivering demos and workshops, producing RFx responses and architectures, designing AI and ML pipelines, and collaborating with engineering and partner teams. Requires 2+ years relevant hands-on experience in areas such as ML application development or MLOps and practical experience with Python and OSS frameworks (e.g., TensorFlow, PyTorch).

Remote (U.S.) Machine Learning Engineering Manager role at Reddit responsible for setting technical vision, overseeing end-to-end model development and deployment for Ads engagement/conversion modeling, and recruiting and mentoring a high-performing ML engineering team. Requires hands-on deep learning experience (TensorFlow or PyTorch), production ML lifecycle expertise, and prior people-management experience (2+ years).

Owner-facing IC role to build and evolve AIConfigurator's optimization engine and production-quality Python/Rust APIs, CLIs, SDKs, and workflows. Requires 10+ years of software engineering experience and expertise in GPU computing, model serving, performance modeling, benchmarking, and distributed systems to optimize latency, efficiency, parallelism, and resource utilization across NVIDIA GPU deployments (H100/H200/B200/GB200).

CrowdStrike seeks a Data Scientist to develop agentic systems and post-train LLMs (supervised fine-tuning, RLHF/RLAIF, PPO/GRPO/DPO, reward modeling), design evals and benchmarks, collaborate with engineering and threat research, and work on ML research and productionization using PyTorch and common LLM tooling. US base salary range provided.

Join a remote LatAm-based team to design, deploy and maintain production-grade microservices that enable GenAI and LLM features for a SaaS Course Studio. Role requires 5+ years of Python experience, hands-on LLM/GenAI integration (OpenAI/Anthropic/LangChain or open-source), and experience with AWS services (EC2, Lambda, ECS, S3).

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Founding Staff ML Engineer on Docker's Intelligence team. Responsible for designing, training, evaluating, and shipping ML systems (e.g., prompt injection detection, anomaly detection, trust scoring, policy recommendations), building supporting infrastructure (data pipelines, feature stores, serving, evaluation), setting technical direction, and participating in on-call for the Agentic Platform. Requires 5+ years applied ML and 8+ years professional software engineering experience; experience with LLMs, prompt engineering, fine-tuning, retrieval, agent frameworks, and production ML systems.

Work with Veeva Data Cloud and external data to design, build and maintain visualizations, dashboards and data pipelines; apply machine learning, NLP and generative AI to uncover insights; communicate findings to senior pharma stakeholders to support R&D, pre-/post-launch strategies. Requires scientific domain knowledge (MD/PhD/MSc or equivalent) and experience with large/complex datasets. Nice-to-have: BI tools (Tableau, Spotfire, Power BI, Qlik), Python, prompt engineering.

Lead architecture and delivery of end-to-end AI-powered systems including agents, RAG pipelines, orchestration layers, and evaluation frameworks. Define contracts, state management, guardrails, and observability standards; productionize experimental AI capabilities into scalable services. Remote-first role based in the USA; requires 5+ years of software engineering experience and 2–3+ years of AI development experience.

Acquia is hiring a Staff AI Engineer to architect and implement stateful, multi-agent workflows (using LangGraph, Temporal, Pydantic) and own AI observability via LangFuse. The role requires 8+ years of software engineering experience (3+ years producing AI agents), deep Python skills, cloud AI deployment experience (AWS/Azure/GCP), and expertise in RAG, vector databases, and prompt/agent management. The position is remote for the United States and includes mentoring and cross-team collaboration responsibilities.

NVIDIA seeks a Solutions Architect for Financial Services Capital Markets to partner with engineering, product, and sales teams, run customer proof-of-concepts, profile and optimize ML/DL models on NVIDIA GPU architectures, and build finance-focused collateral. Requires MS/PhD or equivalent experience, 5+ years as an ML/software engineer, proficiency in Python and C++, and experience with frameworks such as PyTorch, TensorFlow, JAX, Spark or Dask. Base salary range: 152,000 USD - 241,500 USD per year.

Lead the technical direction for Reddit's Embeddings Machine Learning Platform, architecting scalable training (multi-GPU/cloud) and low-latency real-time serving for large models. Collaborate with cross-functional teams, drive ML strategy, mentor engineers, and bring advanced deep learning and production ML systems into production.

Lead a lean research team to develop mechanistic interpretability and alignment methods for security-specialized models, translate findings into training interventions and evaluation frameworks, collaborate with adversarial evaluation teams, publish original research, and recruit and develop researchers. Role is remote (USA); listed U.S. base salary range $195,000–$290,000 per year.

Hiring a Backend Engineer (remote, Brazil) to design, develop, and maintain Java-based applications, implement Python components for data processing and AI workflows, build and interact with LLMs (APIs and agentic loops), develop intelligent agents, and apply Model Context Protocol (MCP). Eclipse RCP experience is a plus.