Lead evaluation and quality efforts for Elastic's Search Conversational Experiences team, defining metrics, offline/online evaluation, LLM-as-judge calibration, and A/B testing. Drive improvements across retrieval, ranking, vector search, RAG, and agent tooling; partner with engineering to productionize evaluation pipelines and telemetry. Role requires 8+ years applied DS/ML experience and hands-on experience with Python, PyTorch/Transformers, IR/NLP, and Elasticsearch.

The Data Scientist will develop algorithms and ML models (including NLP, LLMs, recommendation systems, and agentic workflows) to generate people-related business insights, own the end-to-end MLOps lifecycle, and deploy production models. The role requires collaboration with IT and business partners, presenting results to non-technical stakeholders, and maintaining reusable, version-controlled code and documentation. Minimum 3 years of data science experience is required; proficiency in Python, SQL/BigQuery, Git, and tools such as Tableau, Kubeflow or MLflow is preferred.

Technical software engineering role within Data Science focused on building production multi-agent systems, AI-powered security chatbots, and applied LLM workflows for security operations (alert triage, summarization, automation). Role expects 8+ years of professional software engineering experience, 1–2 years hands-on applied AI building multi-agent/chatbot or tool-using agent systems, expertise in .NET/TypeScript/Python, familiarity with cloud AI services (AWS Bedrock preferred) and LLM SDKs, and strong emphasis on evaluation, reliability, and AI security practices.

NVIDIA seeks a Senior Deep Learning Hardware Modeling Architect to create executable C++ models, drive component- and system-level architectural specifications, and resolve performance/correctness issues across hardware subsystems. Requires a BS or higher (or equivalent), 5+ years relevant experience, expert C++ skills, and experience with RTL/chip design concepts. Location: US (multiple states) with remote/hybrid options. Base salary ranges provided for levels 3 and 4 (152,000–241,500 USD and 184,000–287,500 USD respectively).

Work on analyzing deep learning networks and developing compiler optimization algorithms for NVIDIA's Deep Learning Compiler used across data centers and devices. Requires 3+ years of relevant experience, strong C/C++ and Python skills, and experience with technologies such as MLIR, LLVM, XLA, TVM, CUDA and deep learning frameworks like PyTorch.

Role to profile and optimize end-to-end neural reconstruction and Gaussian Splatting workflows on GPUs, addressing data loading, training, rendering, and multi-GPU execution; convert Python/PyTorch bottlenecks into efficient CUDA/C++ or native implementations; and build benchmarks and regression tests. Requires 12+ years experience and strong skills in Python, C++, CUDA, PyTorch, and GPU profiling tools.

NVIDIA is hiring a Senior Perception Engineer to design end-to-end perception solutions (lane graphs, road boundaries, traffic elements, online mapping) using deep learning for autonomous vehicles. The role requires hands-on experience with deep learning (e.g., PyTorch), strong programming skills (Python and/or C++), data-driven development with large labeling teams, and productizing models to meet safety, latency, and robustness requirements. Salary ranges are provided for different levels (annual USD).

Lead a team of software and ML engineers responsible for Shopping Ads targeting, retrieval, ranking integrations, model features, and engagement optimization. Drive architecture, system design, scalability, reliability, observability, experimentation quality, and technical execution across Dynamic Product Ads and Product Listing Ads. Qualifications include 8+ years of software or ML engineering experience and proven experience as a technical lead manager.

MailerLite seeks a Machine Learning Engineer to build and ship predictive models on large-scale behavioral data and fine-tune LLMs to power a goal-driven assistant. Responsibilities include data preparation, training and inference pipelines, evaluation harnesses, and production serving. Requires 3+ years of production ML experience, hands-on LLM fine-tuning, strong Python and modern ML stack skills, and at least 4 hours overlap with CET. Remote-first role with advertised annual salary range €55k–€80k.

Work with Learning Designers and AI Engineers to design and evaluate prompts, implement benchmarking and evaluation systems, tag content, and apply expertise in linguistics, CEFR, and second language acquisition to improve AI-driven language learning. Requires a Masters-level qualification in computational/applied linguistics or related field and C2 English; C1 in French, Spanish, or German is also requested.

Senior engineering role on Reddit’s Onboarding team (Remote - United States). Responsible for defining and implementing backend architecture for signal collection, personalization pipelines, and experimentation infrastructure; partnering with ML, Feeds, Relevance, and other teams; and driving reliability, scalability, and measurable growth through A/B testing and instrumentation. Minimum 7 years experience. Base salary range listed: $217,000–$303,000 USD (base, annual).

Lead research on audio-visual deepfake detection, synthetic media identification, and real-time video processing. Design, implement, and evaluate ML and computer vision algorithms for video, transition research prototypes to production across cloud/edge, publish papers and patents, and mentor junior researchers. Requires PhD or equivalent, 3+ years research experience in deep learning/computer vision, and strong Python and ML framework expertise.

Join Reddit's Notifications Relevance team to design and build end-to-end, large-scale recommendation systems for notifications (push, email, in-app). Responsibilities include candidate retrieval, ranking, budget optimization, integrating and deploying LLMs, monitoring, cross-functional collaboration, and mentoring senior engineers. Remote (United States). Base salary range: $266,000–$372,400 USD per year.

Sardine is hiring a Lead for the Proof-of-Concept Data Science team to partner with enterprise customers on fraud and risk use cases. The role is a player-coach: lead and develop IC data scientists, deliver POC/POV engagements from data ingestion to stakeholder readout, build and review ML models (anomaly detection, classification, graph analytics), define metrics and dashboards, and support experimentation (A/B testing). Required: 10+ years in fraud/risk data science, 3+ years leading people, strong Python and SQL skills; Spark, Kafka, feature stores, BI tools (Sigma/Tableau/Metabase) are listed as relevant.

Pacvue seeks a VP, AI Strategy & Delivery to lead AI strategy and execution across AI Labs, Pacvue Agent, machine learning, and Data Science. The role is customer-facing, reports to the CPO, and will scale global AI/DS teams, run experimentation, drive agentic AI and workflow-embedded capabilities, and ensure production-quality ML, explainability, governance, and measurable customer outcomes. Requires 10+ years of relevant experience. Location: US Remote. Salary range: $250,000–$310,000 USD/year.

Foundational Data Scientist position to design and deliver end-to-end predictive models (churn, upsell propensity, CLV), own feature engineering and model lifecycle, integrate daily client scores into CRM workflows, and translate outputs for sales stakeholders. Requires 4+ years experience, strong Python (pandas, scikit-learn, XGBoost/LightGBM/CatBoost), SQL, and experience with time-series/event data and model monitoring.

Parexel seeks an AI Strategy and Implementation Lead to drive Medical Communications AI strategy and deliver end-to-end implementation of AI-driven solutions (including AI agents on LLM platforms). The role requires demonstrable experience in medical communications or medical affairs, hands-on AI/LLM development and deployment, project and change management, and stakeholder engagement; it is a remote role based in select EMEA countries (listing includes Ireland and the United Kingdom).

Senior Data Scientist role at Cloudera (Costa Rica - Remote). Design, develop, and deploy GenAI and LLM-powered internal applications, retrieval pipelines, and reusable AI components; apply statistical and ML methods, feature engineering, and production-grade engineering (Python/R, SQL, core data science libraries). Requires 5+ years of relevant Data Science/ML/AI experience. Role is not eligible for immigration sponsorship.

Join the AgenticAI team to own end-to-end ML lifecycle work—problem scoping, data exploration, pipeline development, model training, deployment, and monitoring. Work spans time-series modeling, forecasting, anomaly detection, generative AI (LLMs, embeddings, orchestration), and building production ML systems that drive industrial AI use cases for manufacturers. Requires 4+ years experience and strong Python and ML framework skills.

Role involves developing deep learning models for ASR, speech synthesis, neural machine translation and NLP; designing large-scale training algorithms; open-sourcing models via NeMo; mentoring interns; and publishing research. Requires PhD (or equivalent), strong Python and PyTorch skills, deep learning expertise, and a strong publications record.