The role focuses on delivering production-grade generative AI solutions: integrating LLMs, building RAG pipelines with vector databases, prompt engineering, model integration via APIs, monitoring, and CI/CD for ML lifecycle. Preferred technologies include Python, Google Cloud/Vertex AI, BigQuery, vector DBs, GPU acceleration (CUDA/cuDNN), and front-end frameworks such as Node.js and React. Position typically allows remote work and notes a pay range of $100,000–$180,000 (annual) for specified US locations.

NVIDIA is hiring a Senior engineer to design and implement compiler transformations, MLIR-based dialects and lowering passes, and optimize tile-based kernels for NVIDIA GPU architectures. Requires 3+ years in compiler optimization, IR design and performance analysis, and strong C/C++ skills.

Equal Experts is hiring a Data Scientist in South Africa to develop quantitative models and machine learning products, analyse large datasets to inform business decisions, and work in agile teams using CI/CD and MLOps practices. The role requires strong programming (Python preferred), experience with ML frameworks (Scikit-Learn, TensorFlow or similar), SQL, source control (Git), and effective communication with distributed teams and stakeholders.

Work directly with customers to identify opportunities and build prototypes and production solutions that integrate generative and multimodal models into creative tools and enterprise systems. Requires strong software engineering (Python, PyTorch), experience with generative AI or visual computing, familiarity with APIs, cloud infrastructure, model serving, data pipelines, and production deployments. Periodic travel for customer workshops is expected.

Lead design and delivery of production-ready AI agent applications for Vault Medical, including RAG architectures, prompt engineering, and data flow orchestration. Requires 7+ years in enterprise software product management or related roles, 2+ years hands-on AI/ML experience (LLMs), strong Python and AI framework experience, and ability to work with regulated medical and legal stakeholders. Candidates must be based in an Eastern Standard Time region and authorized to work in the USA or Canada.

Lead design and delivery of production-ready AI agent applications for Vault Medical, owning discovery, prototyping, specifications, and KPI tracking. Requires 7+ years in enterprise software product management/engineering/data science, 2+ years hands-on with LLMs/Generative AI, strong Python and AI-framework experience (e.g., LangChain, LlamaIndex), and domain familiarity with medical affairs and regulated content.

NVIDIA is hiring a Senior MLOps Engineer for the DSX Enablement team to work with strategic customers on building and deploying AI solutions (distributed training, inference optimization, MLOps pipelines) and to profile/tune large-scale workloads. Requires a BS/MS/PhD or equivalent, 8+ years in technical roles (data science/engineering or ML engineering), strong systems knowledge (Linux, Kubernetes, networking, filesystems), scripting/programming (bash, Python; C++/Go/Rust), and experience with ML/deep learning frameworks. Poland-specific base salary ranges are provided in the posting.

NVIDIA seeks a Senior Machine Learning Engineer for AI Safety to work on scaling safety for multi-modal LLMs. Responsibilities include building evaluation datasets and models, developing pre-/mid-/post-training recipes (SFT, RLHF/RLAIF), researching system-level safety techniques, and collaborating across teams. Requirements include a MS/PhD or equivalent, 8+ years experience (4+ years post‑training experience), strong Python and PyTorch skills, and domain expertise in at least one core safety area (LLM security, frontier risks, agentic safety, or multi‑turn evaluation).

NVIDIA seeks an engineer to develop AI/ML-based tools and LLM integrations to automate performance verification workflows for GPUs, SoCs, and related systems. Responsibilities include building agents to detect regressions and root causes, designing data pipelines for model training, collaborating with verification teams, and measuring automation impact. Requires B.Tech/M.Tech/PhD in EE/CS or related field and 3+ years in hardware verification, performance validation, or EDA tool development.

CrowdStrike is hiring a Threat Analyst to analyze customer detection tickets, investigate malware/binary files, and improve detection capability and false positive management for machine-learning-based detections. The role involves reverse engineering, collaborating with internal teams (Data Science, Malware Research Center, TAMs, Falcon Complete), and feeding detection efficacy insights back into Data Science.

The role focuses on developing measurement & verification (M&V) methodologies and data science/ML models to evaluate advanced grid services from distributed energy resources. Responsibilities include writing production-level code, prototyping data products, improving forecasting and performance evaluation, and collaborating with Data Engineering, Product, Sales, and other stakeholders. Required skills include Python, the scientific stack (pandas, numpy, scipy), SQL, basic ML (scikit-learn, TensorFlow), and data modeling/ETL practices. Visa sponsorship is not available.

Role entails researching, developing, and deploying deep learning models and data pipelines for multimodal data curation (documents, images, audio, video) used to train foundation models. Responsibilities include building petabyte-scale extraction and deduplication pipelines, optimizing curation methodologies for large GPU clusters, creating datasets/metrics/validation scripts, enabling production deployments via NVIDIA Inference Microservices, and publishing technical outputs. Requires ~10+ years experience, strong Python and PyTorch skills, and experience with distributed data frameworks (Ray, Spark, Dask).

Arize AI seeks an Applied AI Engineer focused on developer growth to produce example code (agents, assistants), technical content (repos, blogs, workshops), and act as the voice of AI engineers to inform product and GTM. Requires proficiency in Python and experience with LLM app stacks (agents, orchestration, vector DBs, evaluation), engagement in developer communities, and ability to present at events. Estimated annual salary $100,000–$175,000.

Lead measurement, detection, and enforcement strategy for ads fraud at Reddit: define taxonomies and metrics, analyze large behavioral datasets, and build scalable detection/enforcement pipelines (features, models, rules, scoring, feedback loops). Requires an M.S. + 4+ years or Ph.D. + 2+ years of industry data science experience and fluency with Python, SQL, statistical analysis, fraud-detection methods, and production ML systems; experience with LLMs, graph analysis, and streaming/batch pipelines is valued.

Principal Software Engineer on the Elasticsearch Search team responsible for designing and implementing vector search features, improving existing vector functionality, fixing bugs, and collaborating with a globally distributed engineering team. Requires strong core Java skills, professional experience with vector similarity/vector databases and algorithms (e.g., HNSW, IVF), familiarity with search technologies (Elasticsearch, Lucene), and experience with distributed/open-source workflows. Listed typical starting salary range: €67,000–€106,000 EUR per year.

Join the globally distributed Elasticsearch Search team as a Principal Software Engineer to design and implement vector search features, improve vector similarity functionality (HNSW, IVF, etc.), and contribute to Lucene and Elasticsearch codebases. The role emphasizes modern Java development, algorithm and data structure design, performance optimization, and collaboration with the open-source community.

Join the globally distributed Elasticsearch Search team to design and implement vector search features, improve existing vector similarity functionality (HNSW, IVF, etc.), fix bugs, and contribute to Lucene. Role requires strong Java, algorithms, and distributed systems experience and collaboration on open source projects.

Work on Elasticsearch's Search team to design and implement new vector search features, improve existing vector similarity functionality (HNSW, IVF, etc.), fix bugs, and contribute to Lucene integration. The role requires strong core Java skills, experience with vector databases and similarity algorithms, familiarity with data storage technologies, and experience working in distributed/open-source environments. The position is part of a globally distributed team and is listed for Portugal.

Join the globally distributed Elasticsearch Search team as a Principal Software Engineer to lead work on vector similarity search and vector database features (including algorithms like HNSW/IVF). Responsibilities include designing and implementing new vector search features, fixing bugs, improving relevance, collaborating with a distributed engineering and open source community, and writing idiomatic modern Java.

Lead design and implementation of vector search features and enhancements within Elasticsearch, contribute to Lucene improvements, triage and handle community issues, and write idiomatic modern Java. Requires professional experience with vector similarity algorithms (e.g., HNSW, IVF), distributed system development, and collaborative asynchronous communication.