AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Extensive, senior experience optimizing large-scale ML systems and GPU architectures; CUDA programming; memory hierarchies; distributed training; transformer models.
Abby Care: Trains and pays family members to provide home care.
2+ YOE2+ years professional software/ML or applied AI experience, strong software engineering, experience with language models/AI APIs, backend and data pipeline skills, ability to evaluate models and work with healthcare workflows.
Sonatus: Develops software platforms for AI-enabled software-defined vehicles.
10+ YOE10+ years ML engineering with 3+ years in Edge AI/embedded systems, Bachelor’s in CS/EE/Software Engineering, expert Python, C++14/17, PyTorch/TensorFlow, edge deployment and model optimization experience.
5+ YOE5+ yrs software engineering; 2+ yrs ML model training/deploy; NLP/LLMs; data pipelines; model optimizations; agentic AI systems; end-to-end ownership
NLP, LLMs, data pipelines, quantization, distillation, LoRA, pruning, agentic systems
Velaura AI: Developing ultra-low-power silicon and IP for AI accelerators.
Experienced in computer/system architecture and performance modeling; building simulation or analytical models; strong programming skills (Python, C++); knowledge of CPUs/GPUs/accelerators; ability to analyze system bottlenecks.
OPPO: Develops and manufactures smartphones and connected consumer electronics.
Master’s in CS/AI/ML/CV/NLP or Bachelor’s with 2+ years; hands-on with LLM APIs and foundation models; strong prompt/context engineering and AI agent skills; production experience with AI systems.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)
Brooklyn Park or Sunnyvale
$132k-$286k/yrHybridFull Time
TargetNYSE: TGT: General merchandise retailer operating physical stores and e-commerce.
5+ YOEDegree in quantitative field or equivalent experience,5+ years applied ML/AI experience,experience with LLMs,agentic systems,model deployment,software engineering practices and strong communication.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
10+ YOEBachelor's in CS/Engineering/Mathematics, 10+ years building and deploying production AI/ML systems, expertise in ML/DL, full ML lifecycle experience, foundation-model adaptation experience.
Senior Staff AI Engineer | Senior Technical Lead - AI Modeling
Sunnyvale, California, United States
$241k-$326k/yrHybridFull Time
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
5+ YOE5+ years in AI/ML engineering; 2+ years as a technical lead; strong Python and PyTorch skills; experience with LLMs, RL, and recommender systems.
Python, PyTorch, Large Language Models (LLMs), Reinforcement Learning
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
15+ YOEBachelor's in a quantitative field (or equivalent experience), 15+ years quantitative modeling experience, proficiency in Python, MATLAB, Excel, hands-on AI/ML experience (2+ years), strong data auditing and executive communication skills.
Python, MATLAB, Microsoft Excel, Pandas, NumPy, SciPy, AWS, Azure, GCP
AI Fund: Builds and invests in artificial intelligence startups.
3+ YOE3+ years software engineering experience with end-to-end ownership of production AI applications, experience with large language or multimodal models, SQL/NoSQL, frontend/backend/cloud, retrieval and agentic systems, and strong communication.
large language models, multimodal models, SQL, NoSQL, APIs, cloud infrastructure
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOE15+ years quantitative modeling experience; expert in Python (Pandas, NumPy, SciPy), MATLAB, and Microsoft Excel; 2+ years hands-on AI/ML deployment experience; bachelor’s in quantitative field or equivalent; extreme attention to data integrity and VP-level communication skills.
Python, Pandas, NumPy, SciPy, MATLAB, Microsoft Excel, AWS, Azure, GCP
Fireworks AI: Provides high-performance generative AI model inference and deployment infrastructure.
5+ YOE5+ years in customer-facing technical engineering roles, strong Python and Kubernetes skills, experience with LLM inference, model serving and fine-tuning, cloud GPU deployment across major clouds, and exceptional communication.
Python, Kubernetes, vLLM, SGLang, TensorRT-LLM, AWS, Microsoft Azure, GCP, Azure AI Foundry, AWS Bedrock, SageMaker, GCP Vertex
Clera: AI talent agent matching professionals with high-growth startup roles
4+ YOE4+ years building and deploying AI/ML models, 2+ years technical leadership, proficiency in Python and PyTorch/JAX/TensorFlow, experience with physics-informed/sequence/mesh data, familiarity with MLOps, and a bachelor's degree in CS/ME/EE or related.
San Francisco or New York City or Vancouver or Amsterdam or London or Paris or Singapore or Tokyo or Colorado or California or Washington
$211k-$316k/yrHybridFull Time
AmplitudeNasdaq: AMPL: Develops digital analytics software for tracking customer product behavior.
3+ YOE3+ years software engineering (2+ years building production LLM/applied AI), experience designing/scaling AI products and platforms, familiarity with model APIs/agents/retrieval/evals, strong product sense and communication.
model APIs, agent frameworks, evals, retrieval, prompting
Brex: Corporate cards and spend management software for businesses.
Proven track record shipping customer-facing features end-to-end across backend and frontend; strong backend foundation (system design, data modeling, API); product mindset and comfort with ambiguity; experience with LLMs/agentic systems a plus.
ZeroRFI: AI-powered intelligence platform for the built environment.
3+ YOEMaster's/PhD or equivalent, 3+ years building and deploying ML models, deep learning and computer vision expertise, strong software engineering and MLOps experience.