Senior engineering role on the Elasticsearch Search team responsible for designing and implementing new vector search features, improving existing vector similarity functionality (HNSW, IVF, etc.), fixing bugs, and collaborating with a globally distributed team and the open source community. Requires strong Java, algorithms, data structures, concurrency, and distributed systems skills, plus experience with search platforms and vector databases.

Role focuses on building performance testing frameworks, automated CI/CD pipelines, benchmarking systems, and dashboards to track and analyze GPU and compiler performance across models and hardware. Requires 5+ years software engineering experience, strong Python (C++ a plus), familiarity with deep learning frameworks (PyTorch/TensorFlow/JAX/TensorRT), GPU/hardware-aware performance analysis, profiling, and debugging across software and hardware layers. Base salary range listed: 152,000 USD–241,500 USD.

The role owns vector stores for RAG, the feature store for training and inference, and graph data structures modeling applicants/products/decisions. Responsibilities include data discovery and profiling, building AI-ready datasets with lineage and freshness SLAs, evaluating retrieval/feature quality, and partnering with ML engineers and governance teams. Requires 4+ years of relevant experience and strong skills in Python, SQL, Databricks, vector & graph technologies, and embedding/LLM tooling.

NVIDIA seeks a Senior DL Algorithms Engineer to enable and optimize open LLM/Omni models (e.g., Nemotron, Cosmos) on NVIDIA's accelerated inference software stack. Responsibilities include contributing to open-source frameworks (TRT-LLM, vLLM, SGLang, FlashInfer), profiling and removing bottlenecks across the inference stack, benchmarking, and co-designing with partner teams. Requires 3+ years' experience, strong deep learning and inference background, GPU performance optimization, PyTorch or equivalent, and understanding of computer/GPU architecture.

Lead model development and MLOps for GenAI Security at Reddit: define problems, assemble and label datasets, build ETL and training pipelines, train and evaluate deep learning models (transformers, embeddings, sequence models), deploy and monitor production models, and partner with cross-functional teams. Requires 5+ years of production ML/deep learning experience and hands-on use of frameworks such as PyTorch or TensorFlow.

Role focuses on research, implementation, and validation of model and algorithm improvements for human-centric video generation and world models. Responsibilities include prototyping spatial multimodal and neural-rendering approaches, improving training and inference efficiency, defining training objectives for sim-to-real/real-to-sim generalization, building domain-specific benchmarks, and translating research into production-grade checkpoints and integrations. Requires PhD or equivalent, 8+ years applied research/industry experience, 3+ years designing/training generative models, and advanced proficiency in Python, PyTorch, C++, and CUDA.

Lead technical strategy and architecture for ads identity modeling and related ads measurement models. Responsibilities include designing and training advanced ML models, overseeing end-to-end ML workflows (data ingestion, feature engineering, training, evaluation, deployment), partnering with cross-functional teams, and enforcing engineering best practices. Minimum qualifications include 7+ years professional software engineering experience with 3+ years on ML-driven systems and proficiency with frameworks (TensorFlow/PyTorch) and large-scale data tools (Spark, Kafka, Beam, Flink).

NVIDIA is hiring a Senior Sensor Fusion Engineer to develop core functionality for autonomous driving by fusing perception DNNs and map signals into real-time 3D world models. The role focuses on enabling HD mapless urban driving and L3 highway autonomy using camera, lidar, and radar inputs, building occupancy grids and occlusion masks, and producing automotive-quality code. Requires 8+ years' experience (with 2+ years in AV/robotics) and experience on embedded/automotive platforms.

Senior Solutions Architect responsible for guiding customers on NVIDIA hardware/software for AI and professional graphics workflows. Requires 8+ years software development experience (Python, C/C++), deep learning/CUDA knowledge, familiarity with graphics APIs and GPU architectures, strong Windows/Linux skills, and willingness to travel to customer sites and NVIDIA HQ (Santa Clara, CA).

Work at the intersection of technical support, workflow automation, and applied AI to design and implement agentic AI systems, ticket triage, routing, knowledge retrieval, case summarization, and operational insights. Requires at least 3 years of relevant software, automation, or applied AI experience, strong Python and API skills, and experience building production internal tools; role is remote-first and lists a salary range of 125,000–170,000 USD per year.

NVIDIA is hiring for its Deep Learning Compiler (DLC) team to develop compiler optimization algorithms, performance optimizations, and compiler infrastructure for neural networks used across data centers, devices, automotive, and robotics. The role requires 3+ years of relevant work or research experience, proficiency in C/C++ and Python, and familiarity with technologies such as CUDA/OpenCL, MLIR, XLA, TVM, LLVM, and deep learning frameworks like PyTorch. Base salary range: 152,000 USD - 241,500 USD per year.

Senior product-focused AI engineering role responsible for designing, developing, and operating AI-powered features that integrate and orchestrate multiple LLMs. Requires 5+ years of backend/full-stack experience, strong expertise with LLMs and AI model integration, production observability, Postgres/MySQL, Elasticsearch, and knowledge of AI privacy/security/compliance. Role is listed as remote for the United States; visa sponsorship for engineering/product roles is case-dependent per the posting.

Build and operate scalable AI platform services for deployment, orchestration, serving, and lifecycle management of LLMs; integrate multiple LLM providers; develop backend APIs and infrastructure for monitoring, logging, and automated evaluation; apply LLMs to product features; and drive best practices for AI privacy, security, compliance, scalability, and cost efficiency. Role requires deep experience in backend engineering, distributed systems, cloud-native technologies, MLOps, and applied LLM work.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.

ClickUp seeks a Senior AI Engineer to lead development of user-facing AI features, integrating and orchestrating multiple LLMs, ensuring production reliability, scalability, observability, and addressing AI privacy/security/compliance. Requires 5+ years' backend and/or full-stack engineering experience, strong experience with LLMs, Python/JavaScript/TypeScript, Postgres/MySQL, Elasticsearch, and mentoring/cross-functional collaboration.

Seeking a Senior AI Engineer to design and implement scalable AI platform services (model serving, orchestration, lifecycle management), integrate multiple LLM providers, build backend APIs, and apply LLMs to deliver user-facing features. Requires experience with cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure), MLOps, distributed systems, programming in Python/Go/TypeScript, and addressing AI privacy and security.

Join the AI Platform team to design, develop, and maintain a backend platform that enables users to create and manage intelligent agents and their interactions. Work includes integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing AI privacy and data protection scenarios, and integrating search capabilities. The role emphasizes scalability, multi-agent coordination, and collaboration with cross-functional teams.

Hands-on role focused on building and deploying machine learning and graph analytics solutions for fraud and risk. Responsibilities include client-facing problem solving, prototyping and productionizing models, designing and tracking performance metrics, conducting EDA and cohort analyses, and creating automated BI dashboards. Remote-first role open to candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, and Lithuania. Requires 7+ years experience and proficiency with Python or R and SQL; BI tools (Tableau, Sigma, Metabase) and Spark are highlighted.

This Director role leads software and machine learning engineering teams responsible for Upwork’s Search & Recommendations platform, including search, recommendations, conversational matching, and agentic workflows. Responsibilities include defining technical strategy, modernizing infrastructure, ensuring reliability and observability, partnering with product and ML teams, and growing a high-performing organization. Annual base salary range: $211,250 — $340,000 USD.

Sardine seeks a Forward Deployed AI Engineer to work directly with clients to translate operational challenges into technical architectures, train and deploy custom AI agents, and build evaluation pipelines and AI risk metrics. Requires 5+ years in Data Science or Applied AI and proficiency in Python and SQL. Role is remote for candidates based in the United States or Canada.