HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Lululemon AthleticaNASDAQ: LULU: Designs and sells performance athletic apparel and accessories.
8+ YOE6-10 years of production AI/ML experience; bachelor’s or master’s in CS/ML or related field; strong ML tooling knowledge; capable of defining standards for AI/ML systems and MLOps.
Python, Spark, Airflow, MLFlow, Feature Stores, Cloud ML Platforms
United States or White Plains or New York City or Seattle or Dallas
$20/hrHybridFull Time
iSoftStoneShenzhen Stock Exchange: 301236: Provides software development, IT consulting, and digital transformation services.
0+ YOEEarly-career AI/ML role for recent graduates or those with up to 2 years' experience; requires Python, familiarity with cloud AI services (AWS/Azure/NVIDIA) and frameworks like LangChain and Pydantic.
Mountain View or New York City or Dallas or Miami or Seattle or Los Angeles or Chicago
$111k-$174k/yrRemoteFull Time
Cognify Analytics: A technology focused on AI solutions and ML systems.
6+ YOE5–8 years in ML engineering or related field; strong Python and ML framework experience; production ML pipelines; MLOps knowledge; cloud platforms; effective communicator.
Blue Origin: Develops reusable rockets and systems for human spaceflight.
10+ YOEBS in a technical field, 10+ years developing autonomy for safety-critical embedded systems, 5+ years deploying AI/ML in production embedded environments, proficiency in Python and C/C++, experience with edge GPUs/FPGAs/DSPs and model optimization, ability to obtain DoD clearance, strong technical communication.
Slalom: A global business and technology consulting firm.
3+ YOE3–6 years implementing ML/AI in production, 1–3 years consulting experience, experience with LLMs/RAG/fine-tuning, strong Python skills, cloud platform experience (AWS/Azure/GCP), and coaching/adoption capabilities.
Chicago or New York City or San Francisco or Seattle
$172k-$238k/yrHybridFull Time
ChimeNasdaq: CHYM: Provides mobile banking and financial tools for everyday consumers.
Deep expertise in sequential and deep learning, end-to-end ML lifecycle, experience with large-scale financial/behavioral data, MLOps, and tools like AWS, SageMaker, Kafka, Airflow, Redis, Snowflake, Spark; strong Python and SQL skills.
Docker: Provides a platform for building, sharing, and running containerized applications.
5+ YOE5+ years applied ML/AI experience, 4+ years software engineering, experience with LLM-based systems, model lifecycle and ML infrastructure, bachelor's in CS/Engineering or equivalent, strong communication and mentoring skills.
Seattle or Nashville or Santa Clara or Austin or United States
OnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years software engineering experience; degree in CS/AI/Engineering or equivalent; deep distributed systems and AI/ML platform experience; strong Python, Kubernetes, Docker skills; experience with LLMs, orchestration frameworks, SLIs/SLOs, and operational readiness.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years in high-scale infrastructure or ML systems; BS in Computer Science or related field; strong Python and PyTorch; Kubernetes; cloud experience; GPU/ML infra focus.
Paradigm: Software transforming the residential construction and building product industries.
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
2+ YOEBachelor's in CS/ML/SE with 2+ years ML + software engineering; Python with PyTorch/JAX/TensorFlow; cloud-native deployment; LLM experience; strong communication.
Lowe'sNYSE: LOW: Operates a chain of retail home improvement and hardware stores.
4+ YOESenior AI Engineer with leadership in developing and operationalizing Physical AI systems; expertise in ML/DL, data platforms, MLOps, and cross-functional collaboration.
ML frameworks, GPU, CI/CD, Data pipelines, Kafka, Hadoop, BigQuery, Google Vertex AI, SQL, NoSQL, Computer Vision, Robotics
ZoomNasdaq: ZM: Provides a cloud-based platform for video, voice, and collaboration.
5+ YOE5+ years ML engineering or production systems; Bachelor's in CS/AI/ML; Python/Go/TypeScript; LLMs and agent architectures; cloud-native AI infra.
BlockNYSE: XYZ: Creates financial tools for businesses and individuals.
8+ YOE8+ years ML modeling experience, Masters required in a technical field, 3+ years AI/LLM engineering preferred, end-to-end production ML/AI deployment, Python/ML tooling proficiency, cross-functional program ownership.
Shanghai or Beijing or Shenzhen or Seattle or Boston or New York or Toronto
HybridFull Time
Meshy: AI-powered platform for rapid 3D model and asset generation.
Machine learning or high-performance graphics experience; proficiency in PyTorch or JAX; strong Python and/or C++ coding; fast learner; performance-focused; good communication for distributed teams.
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
Strong Python software engineering; end-to-end ML model development and deployment; deep learning (ConvNets, Transformers); advanced degree; stats; good communication.
Staff GenAI/ML Engineer (Emerging Tech & AI Automation) Project Hire
Burbank or Orlando or Seattle
$163k-$241k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years software/ML engineering; 2+ years GenAI/LLM; cloud experience (AWS/Azure/GCP); Python proficiency; ML/AI and automation expertise; strong communication and cross-functional collaboration; able to design scalable AI/ML systems and MLOps practices.