CrowdStrike seeks a Principal Data Engineer for its Data Science Platform Engineering team to design, implement, and operate scalable, fault-tolerant data platforms and pipelines for LLMs, RAG, and agentic systems. The role requires deep hands-on experience with LLM engineering, distributed data processing, cloud data services, containerization, streaming, MLOps/DataOps practices, and mentoring/technical leadership. The posting specifies a minimum of 10+ years in data/platform engineering and provides U.S. and Canadian base salary ranges.

Lead and mentor engineers to plan, schedule, and execute projects to create, optimize, and deploy training and inference deep learning workloads. Coordinate across teams and geographies, work on optimized numerical and DL algorithms, interact with scientific teams, and occasionally travel to conferences or customers. Minimum BSc and 8 years related experience (including 3 years management).

Hands-on technical leader reporting to the Director, Enterprise AI. Responsibilities include diagnosing business problems, mapping workflows, designing and shipping AI solutions quickly (prototypes to production), integrating with existing systems (APIs, orchestration tools, GitLab Duo Agent Platform), and measuring success with business and flow metrics. Strong engineering fundamentals, LLM/AI expertise, systems thinking, and experience with enterprise systems (e.g., Salesforce, Marketo, Zendesk) are emphasized. Role is remote with a U.S. salary range provided.

Join Mapbox Japan's POI Search & Relevance team as a Software Development Engineer II focused on the Search Box (query understanding, recall, ranking and overall relevancy). The role involves designing and implementing high-performance search algorithms, optimizing for throughput and latency, operating and monitoring production systems (including occasional on-call duties), and collaborating cross-functionally. Required skills include information retrieval, algorithm performance optimization and experience with languages such as Java, C++ or Rust; conversational Japanese and fluent English are requested.

Datadog seeks an Engineering Manager (Manager I) to grow and lead the Evaluation & Annotation team on the AI Platform. Responsibilities include defining technical vision and roadmap, building evaluation and annotation tooling, partnering with Applied AI and infrastructure teams, and participating in code/design reviews while managing and developing a 4–6 engineer team. Role is based in Paris and operates in a hybrid workplace.

CrowdStrike is hiring a Threat Researcher I to research threats at the intersection of LLMs and malware analysis. Responsibilities include identifying vulnerabilities in AI-powered detection systems, developing PoC research projects, and collaborating with engineering and product teams. Required skills include AI/ML fundamentals, Python, malware analysis knowledge, and familiarity with static/dynamic analysis and reverse engineering tooling.

Lead the engineering team within NVIDIA's Dynamo organization to advance AIPerf (an open-source inference benchmarking platform). Responsibilities include driving core infrastructure (load generation, ZMQ microservices, GPU telemetry, Prometheus, statistical confidence intervals, Kubernetes-native deployment), advising integrations with vLLM/TRT-LLM/SGLang, and hiring/mentoring senior engineers. Requires 8+ years software engineering experience and 3+ years engineering leadership.

Lead the Data Science functional team to set multi-team roadmaps, provide hands-on mentorship, and guide projects involving statistical modeling, experiment design, classifier implementation, ML/NLP and LLM work. Requires 10+ years in data science or ML engineering (including 4+ years leading teams), production-grade Python and SQL skills, familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid), and experience designing experiments and privacy-aware analytics. Position is remote (locations listed), expects ~40 hours/week, and requires travel ~2x/year. Compensation listed at $243,800 USD annually plus stock options.

Join a tech-driven real-estate company as a Senior Full-Stack Engineer to build production-grade frontend and backend features and AI-powered systems (custom agents, RAG pipelines). Required skills include expert TypeScript, Node.js, frontend frameworks (React/Vue/SvelteKit), PostgreSQL, cloud experience (AWS/Azure), and hands-on experience with LLM features and AI coding assistants. Role is 100% remote and oriented to autonomous, async-first work across Latin America.

Lead the Styling Algorithms team at Stitch Fix to drive ML- and AI-driven personalization (including client-facing features like virtual try-on). Role oversees end-to-end algorithm development, production deployment, experimentation (A/B testing), and cross-functional product work. Requires 5+ years building and deploying AI/ML solutions, 2+ years managing or leading technical teams, and production Python and cloud/distributed systems experience. Salary range for US hires: $200,000–$246,000 USD per year.

Senior technical leader responsible for evolving the [R]AIMS AI mission platform architecture, leading major technical epics, and delivering production-grade, data-intensive AI/ML systems. Hands-on role working with Kubernetes-native infrastructure, distributed systems, model integration, and performance/operational reliability. U.S. citizenship required and candidate must be eligible for Top Secret/SCI clearance. Remote within the U.S.; preference for candidates near Raft hubs. Salary range $180K–$230K; up to 25% travel.

Enterprise-wide senior leadership role reporting into Revenue Operations to define and execute Elastic's Field Technology & AI strategy. Owns four teams (Engineering, Data Science, Customer Data Strategy, Application Administration) to productize and operationalize AI use cases across GTM (examples: account scoring, next-best-action, seller copilots). Requires 12+ years' experience (including 7+ years in senior leadership). Based in the United States. Typical starting salary range: $212,100–$335,600 USD per year.

Role involves architecting and deploying agentic GenAI/LLM solutions for telecommunications network operations (telemetry, logs, SNMP, NetFlow/IPFIX, time-series), enabling NVIDIA Telco partners on NVIDIA AI stacks (Morpheus, RAPIDS, NeMo, NIM), and providing technical guidance for production integration. Requires 6+ years building and deploying AI/ML systems, strong Python and PyTorch experience, and familiarity with telecom data and related tooling.

Profile and optimize end-to-end neural reconstruction workflows (data loading, training, rendering) using PyTorch and CUDA; translate Python/NumPy/PyTorch bottlenecks into efficient CUDA/C++ or PyTorch-native implementations; build benchmarks, regression tests and profiling workflows. Role requires 12+ years experience and strong skills in Python, C++, PyTorch, and CUDA.

Full-time, on-site (Foster City, CA; in-office M/W/F) Engineering Manager role to create Replit's anti-abuse program from 0-to-1. Responsibilities include threat modeling, designing progressive verification and identity/KYC infrastructure, shipping detection and enforcement systems (rules engines, ML risk scoring, reputation), defining metrics and data pipelines, hiring and growing a small team, and operating cross-functionally with Support, Legal, Security, Infrastructure, and Growth. Requires 6+ years engineering experience and 2+ years managing teams.

Customer.io is hiring a Senior Data Scientist to analyze customer and product behavior, design and analyze experiments, build models and datasets (using SQL and Python), and partner with Product, Marketing, and Data Engineering to inform product and business decisions. Requires 5+ years in a data science role, experience with statistics, experimentation, behavioral analytics, and familiarity with cloud data platforms such as Snowflake or BigQuery. Salary range: $140,000–$150,000 USD per year.

Augury seeks an Algorithm and Applied AI Scientist (DSP) to lead projects focused on advanced signal processing and data analytics for industrial manufacturers. Responsibilities include understanding physical properties of sensor data, full algorithm development lifecycle from feature discovery to production-ready models, and building predictive and anomaly classification models using time-series and textual data. The role leverages classical and modern techniques (DSP methods like STFT/FFT/Hilbert/Wavelet, statistical methods, deep learning, transformers, TGNN/TSFM, Generative AI). Requires an advanced quantitative degree, proven DSP expertise (4+ years), ML/AI experience (2+ years), Python proficiency, and technical leadership experience. Location: Haifa.

NerdWallet is hiring a Security Software Engineer focused on AI and automation to design and implement LLM-driven systems, RAG pipelines, automated code review, and integrations with engineering tooling. The role requires ~3+ years of software or security engineering experience, hands-on work with backend services (Python or Go), cloud and distributed systems, and knowledge of application and AI-specific security risks.

Join NerdWallet as a Security Software Engineer (AI & Automation) to design and implement AI-powered security systems (LLMs, RAG, multi-agent), automation for vulnerability analysis and secure code review, integrations with developer tools, and scalable backend and data pipelines. Responsibilities include threat modeling, improving SSDLC, incident response support, and partnering across engineering teams. Role is remote within Canada (except Quebec) and requires 3+ years of software or security engineering experience and strong Python or Go skills.

Join GitLab's Enterprise Technology & AI team as an AI Engineer to lead end-to-end AI initiatives from discovery through deployment. You'll map workflows, diagnose constraints, build rapid prototypes, integrate AI into existing systems (APIs, orchestration tools, GitLab CI/CD), measure flow and business metrics, and implement safety guardrails. Key technical skills include Python or JavaScript/TypeScript, REST/GraphQL, prompt engineering, LLMs (OpenAI/Anthropic/open-source), RAG and agent patterns, plus experience with enterprise systems (Salesforce, Marketo, Zendesk) and orchestration tools.