AE Studio is hiring an Applied AI Data Scientist to build data-driven solutions across client projects and internal research, including LLM lifecycle work (prompting, RAG, vector DBs, fine-tuning) and ML across tabular, time-series, NLP, and vision. Requires strong Python skills, deep learning experience (PyTorch/TensorFlow/JAX), statistical and causal ML fundamentals, and effective English communication; remote-first with the option to work from a Florianopolis office in Brazil.

Tide is hiring a Staff Software Engineer (Backend, AI) based in Bulgaria to design and build APIs, workflow orchestration, and tool integrations for an agentic platform. The role focuses on scalable, secure, observable services and reusable engineering patterns for AI-enabled workflows, working closely with product, data, platform, and security teams. Tech stack highlights include Java/Spring Boot, event-driven systems (SNS/SQS, Kafka), MySQL/Postgres on AWS, Docker, Terraform, EKS, and various data and ML tooling.

Tide is hiring a Staff-level Backend/Platform Engineer (AI) to design and build core services for an agentic platform—APIs, workflow orchestration, third-party tool integration, and shared AI capabilities. The role emphasizes reliability, security, observability, developer usability and productionising AI across the enterprise. Tech stack includes Java/Spring Boot, event-driven systems (SNS/SQS, Kafka), MySQL/Postgres on AWS, Docker, Terraform, EKS, and monitoring/CI tools. Role is remote-first with presence in Tide's Serbia technology centre.

Join Tide as a Staff-level Backend Engineer focused on building core services for an agentic platform: APIs, workflow orchestration, tool integration and reusable AI-enabled platform components. Work with product, data, platform and security teams to productionise shared AI capabilities, prioritising reliability, observability, security and developer usability. Tech stack includes Java/Spring Boot, event-driven messaging (SNS/SQS, Kafka), MySQL/Postgres on AWS, Docker, Terraform and EKS; data and ML tooling (Python, Faust, Tecton, Snowflake) also used.

Lead research initiatives in computer vision, multimodal understanding, and visual generation; develop and deploy large-scale vision and multimodal foundation models; collaborate with applied scientists, ML engineers, and product teams; mentor scientists and engineers. Requires ~8+ years experience and strong expertise with transformers, diffusion models, contrastive learning, Python, PyTorch, and TensorFlow.

Lead the Conversion Modeling team at Reddit (remote in the U.S.), owning technical vision and execution for production-scale conversion prediction models (ranking/recommendation). Requires deep ML and deep learning expertise, experience with TensorFlow/PyTorch, data pipelines, production model lifecycle, and at least 2+ years managing or tech-leading ML engineering teams. Posted salary range: $230,000–$322,000 USD per year.

Principal role to define roadmaps and lead design of communication libraries (NCCL, UCX, UCC, NVSHMEM, MPI) and collective algorithms for trillion-parameter models; requires 12+ years in HPC/distributed deep learning, expertise in RDMA/RoCE/InfiniBand, CUDA/GPU memory hierarchy, 3D parallelism and inference/serving technologies (e.g., TensorRT-LLM, vLLM). Salary range provided: 272,000–431,250 USD/year.

Lead technical subject-matter expert responsible for designing developer tools, APIs, and workflows for chemistry and materials science, translating ML and simulation research into production software, prioritizing features across teams, and representing NVIDIA at scientific venues. Requires a PhD or equivalent, 8+ years building AI/ML software for chemistry or materials applications, strong GPU and ML framework experience, and deep knowledge of interatomic potentials, generative modeling, and quantum chemistry workflows.

Hands-on senior role to design, build, and deliver production Gen‑AI systems end-to-end (UI, backend, deployment). Responsibilities include implementing RAG, tool-calling, agent workflows, prompting patterns, evals, and guardrails; configuring CI/CD and environments; and ensuring security, auditability, and PII-aware handling. Strong JavaScript/TypeScript experience and familiarity with React/Next.js, Node.js, Postgres, vector stores, and cloud platforms are required.

Manage analytical service operations for mortgage and tenant screening businesses across the US, leading a team of data scientist consultants. Design and develop software and statistical/predictive scoring models (regression, classification, decision trees), use SQL and visualization tools (Tableau, Spotfire), and provide training and mentorship to direct reports.

NVIDIA seeks a Senior Solutions Architect to advise customers and build proof-of-concepts for Generative AI and LLM inference on NVIDIA GPU platforms. Requires 8+ years' experience with deep learning frameworks (PyTorch, TensorFlow), strong Python and C/C++ skills, GPU orchestration (MIG) on Kubernetes, containerization, monitoring/observability, and performance analysis. Role involves customer engagement, collaboration with internal teams, and ~20% travel. Base salary range stated: 184,000–287,500 USD per year.

Senior Staff Machine Learning Engineer to define and lead Reddit’s GenAI Platform vision, design and operate a unified LLM Gateway (APIs, rate/token limits, failover), set MLOps/LLMOps standards (CI/CD, testing, versioning, evaluation), and drive platform architecture for scalability, reliability, and observability. Requires 10+ years experience and deep production experience with Kubernetes and cloud ML infrastructure.

Hands-on senior role responsible for designing and building analytical solutions from data extraction (BigQuery, MariaDB) to automated reporting. Develop and maintain data pipelines, tooling, and lightweight APIs (FastAPI); apply statistical and ML methods (regression, clustering, forecasting, A/B testing) at scale; leverage AI tools (Windsurf, Gemini, Claude, Cursor) and LLMs; own data architecture decisions. Requires 7+ years experience.

Hands-on senior role to design and build analytics and AI-augmented data solutions: author sophisticated SQL in BigQuery and MariaDB, develop pipelines and tooling in Python, use LLMs and AI assistants to accelerate work, and serve models/APIs (FastAPI). Responsible for data architecture, modeling, analysis (regression, clustering, time series, A/B testing), and communicating results to stakeholders. MariaDB does not sponsor work visas or relocation.

MariaDB is hiring a Senior Analytics AI Platform Engineer to design and build end-to-end analytical solutions, maintain data pipelines and tooling, and leverage AI-powered tools (LLMs, embeddings, generative AI) to accelerate analysis. The role requires expert-level SQL (BigQuery, MariaDB), strong Python/JavaScript skills, deep understanding of analytical methods and data architecture, and the ability to communicate findings to technical and business stakeholders. Location: remote (Bulgaria). MariaDB does not sponsor work visas or relocation. Salary range provided: 34,000–38,500 EUR per year (gross).

Remote (India) Senior Data Analytics Engineer role to design, build, and maintain analytical pipelines and reporting on BigQuery and MariaDB. Responsibilities include writing advanced SQL, building automation and internal APIs with Python and FastAPI, applying AI/ML and LLM tools to analytics workflows, documenting data architecture and lineage, and communicating findings to stakeholders. Requires 7+ years of relevant experience. MariaDB does not sponsor work visas or relocation; travel is minimal/ as required.

Join NVIDIA Research Singapore to research and design efficient generative AI and foundation models (LLMs, visual generation, robotics) optimized for NVIDIA GPUs. Responsibilities include publishing original research, collaborating with internal and external teams, mentoring interns, and transferring technology to product groups. Requires a PhD in CS or EE, ~4 years' experience, strong Python prototyping skills; C++ and CUDA and familiarity with PyTorch are a plus.

Forward Deployed Engineer at Truelogic partnering with U.S. customers to understand workflows and success criteria, design and prototype AI-native applications and agents, integrate with APIs and enterprise systems, and build production-ready solutions while supporting pre-sale discovery and post-sale delivery. Role is 100% remote and based in Latin America.

Remote senior-level Data Scientist position requiring 7+ years of experience to lead complex projects end-to-end, including ML deployment, NLP/LLM development, Bayesian campaign analysis, experiment design, and work with production data pipelines and columnar databases. Role emphasizes privacy-first data practices and occasional travel (~2x/year).

DataCamp is hiring a Principal AI Engineer to design and build the core AI tutoring system that delivers real-time, adaptive learning. Responsibilities include prompt architecture, agentic workflows, rigorous experimentation and evaluation, productionizing model interactions, integrating AI with platform and content systems, and ensuring quality through monitoring, testing, and guardrails. The role requires experience building LLM-based systems (1+ years), strong software engineering skills (Python, cloud, CI/CD), and the ability to translate pedagogical goals into technical solutions. Locations listed: Belgium, Portugal, United Kingdom, United States (also Dubai provided as a location).