Remote Engineering Manager role leading a multidisciplinary team of ML engineers, data scientists, analysts, and analytics engineers to improve identification model accuracy at scale. Responsibilities include owning the team's roadmap, driving model training/evaluation/deployment, cross-functional collaboration with API and product teams, and communicating model tradeoffs to stakeholders. Requires minimum 2 years in a leadership role for ML/data teams and at least 5 years of professional technical experience. US-based salary range provided; Fingerprint does not sponsor visas.

Senior role within Tide’s Ongoing Monitoring team focused on designing and implementing behaviour-based AML monitoring controls and member segmentation. Responsibilities include building and optimising models, translating AML typologies into data-driven logic, maintaining audit-ready model documentation, and communicating technical trade-offs to stakeholders. Requires a minimum of 4 years in data analytics, strong SQL and Python skills (Pandas, PySpark), and experience with statistical and optimisation methods in a financial crime or risk context.

Hands-on senior engineering role building and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing), improving transcription via context injection, developing LLM-powered post-processing (grammar correction, filler removal, mention resolution), and creating voice-to-action systems. Involves evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks) and exploring multimodal (screen+voice+text) assistant capabilities while collaborating with product and platform teams.

Build and automate scalable performance analysis tools and integrations for AI training and inference, collaborate with performance engineers, hardware architects, and software teams, and identify/automate detection of performance bottlenecks. Requires M.S. or PhD (or equivalent), 6+ years' relevant experience, deep knowledge of AI workloads and frameworks, and strong software skills (Python, C++).

NVIDIA is hiring a Senior Compiler Engineer - AI to design and implement learning-based compiler optimization workflows and integrate LLM systems with compiler infrastructure. The role requires 8+ years of software engineering and AI/ML experience, strong knowledge of compilers, code generation, GPU architecture, hands-on LLVM/MLIR experience, and proficiency in Python and C/C++. Locations listed include US (Redmond, Santa Clara, Austin) and remote. Base salary range listed: 184,000 USD - 287,500 USD per year.

Lead development and production deployment of predictive and optimization models for credit underwriting and risk management. Architect and operate end-to-end MLOps pipelines in AWS (SageMaker, Lambda, Step Functions), implement monitoring, data quality, logging/tracing, and CI/CD, and optimize infrastructure for scalability, reliability, cost, and security.

Role involves integrating new CUDA features and runtime abstractions into AI frameworks, performing workload and performance analysis, collaborating with researchers and architects, and developing runtime/tools for multi-GPU and multi-node deep learning workloads. Requires 8+ years industry experience, strong skills in CUDA, C++, Python, deep learning frameworks, distributed ML techniques, and performance profiling/benchmarking.

Work on research-oriented projects that bridge deep learning frameworks and low-level CUDA to optimize performance from single GPUs to cluster-scale supercomputers. Responsibilities include designing and optimizing custom CUDA kernels, architecting distributed compute systems, profiling hardware-software interactions, and collaborating with researchers and compiler/driver teams. Requires 8+ years experience and strong background in deep learning (transformers), systems programming, and GPU performance optimization.

NVIDIA seeks a Developer Advocate focused on reinforcement learning and LLM post-training pipelines to build demos, write developer-facing content, collaborate on product launches, and engage developers via events and online channels. Requires 5+ years relevant experience (including 3 years engineering), experience with RL libraries and AI frameworks such as PyTorch, JAX, and NeMo-RL. Salary ranges provided for different levels (USD 152,000–241,500 for Level 3; USD 184,000–287,500 for Level 4).

Join Augury as an AI Applied Scientist to own the algorithm lifecycle for industrial sensor and multimodal data. The role requires 5+ years in ML (time-series, embeddings, transformers) and 2+ years working with LLMs/agentic applications, and involves research, prototyping, and deploying production-ready models using Python and cloud big-data platforms.

Twilio seeks a Senior Manager, Machine Learning (remote, based in India) to lead the Conversation Memory team. The role is technical and hands-on ("player-coach"), responsible for defining and executing a multi-year vision for conversational AI platform capabilities, building production-grade ML/LLM systems (including orchestration, embeddings, and vector stores), driving ML/LLM Ops, and recruiting and mentoring a high-performing ML engineering team. Requires 10+ years in applied ML/AI and 3+ years leading ML or data science teams.

Role involves end-to-end development of credit risk and portfolio models—data exploration, feature development, prototyping, deployment, monitoring, and iteration. Requires strong quantitative background (statistics, ML, optimization, economics), Python and SQL experience, and a track record shipping ML products in production. 5+ years industry experience (or 3+ with PhD).

Udacity (an Accenture company) seeks external part-time AI Technical Mentors to provide 1:1 sessions, technical deep-dives, and group Q&A. Mandatory skills include Python, API integration, core AI/ML concepts, familiarity with LLMs and generative AI, prompt engineering, ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), exposure to frameworks like LangChain and LlamaIndex, and knowledge of RAG, embeddings, and vector databases.

Hiring a Senior AI Software Engineer on the GenAI Infrastructure team to design, build, ship, and operate production GenAI capabilities (AI agents, RAG pipelines, tool-calling, LLM orchestration) and supporting backend services, integrations, and observability. Requires 6+ years experience, strong Python and backend engineering skills, and hands-on experience with LLM-powered applications, distributed systems, security, and scalable production architecture.

Work on the open-source Triton compiler to design and implement compiler technology (using MLIR and Triton's Python DSL), optimize high-level kernels to efficient low-level GPU code, and hand-tune critical paths (inline PTX). Collaborate with hardware architects and the CUDA compiler team; experience tuning BLAS/deep-learning kernels, numerics/linear algebra, and ML compilers (TVM/MLIR) is a plus. Base salary range: 184,000 USD - 287,500 USD per year.

Customer-facing engineering role partnering with strategic AI-native customers and internal teams to deploy, validate, and scale production inference and runtime workloads. Responsibilities include benchmarking, GPU and runtime optimization, building deployment frameworks and automation, platform validation, and enabling ecosystem partners. Role requires travel up to 30% and focuses on scalability, reliability, latency, and workload economics.

Customer-facing technical role partnering with strategic AI-native customers, vendors, and internal teams to architect, deploy, benchmark, and optimize production inference and agentic systems. Responsibilities include GPU and runtime performance tuning, building deployment frameworks and automation, validating platform capabilities under real-world workloads, and enabling platform adoption; role requires travel up to 30%.

Hands-on technical leader responsible for architecting and building control and data plane implementations for a multi-tenant, high-scale machine learning platform. Work includes developing Ray and Spark solutions for LLM training and inference, improving operational excellence, collaborating cross-functionally, mentoring talent, and contributing to platform architecture. Basic qualifications include a relevant degree plus 8–10+ years of experience and strong programming experience in Python, Go, Scala, or Java.

Contractor mentor role supporting learners in Udacity's School of Data. Requires 5+ years of relevant technical experience and proficiency in Python and/or SQL, data analysis and modeling, ETL and data pipelines, data visualization tools (e.g., Pandas, NumPy, Tableau/Power BI), and familiarity with databases and data warehousing. Responsibilities include 1:1 mentoring, technical deep-dive presentations, and group Q&A sessions.

Join the Elasticsearch Search team as a Principal Software Engineer to lead development of vector search capabilities (algorithms, data structures, and system-level improvements). Role involves implementing and improving vector similarity features (HNSW, IVF, etc.), writing idiomatic modern Java, collaborating with a globally distributed team, contributing to open source, and working with related storage technologies. Compensation listed in CAD (base salary range provided).