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.
GN Store NordNasdaq Copenhagen: GN: Develops intelligent hearing, audio, and video technology solutions.
2+ YOEDesign, build, and deploy scalable ML models in cloud; data preprocessing; production deployment; Python; cloud platforms; ML frameworks; audio/speech familiarity.
Jaxon: Develops trustworthy AI for government and industry in high-stakes environments.
5+ YOEML/AI engineering with NLP focus; Python proficiency; data processing, model evaluation, and LLM experience; cloud; strong communication; security clearance a plus.
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
7+ YOEBachelor’s in CS/Engineering or equivalent; 7+ years in software engineering or QA for ML/AI; Python with test automation; CAD tooling familiarity; CI/CD experience; strong problem-solving and communication.
Red Hat: Provides enterprise-grade open source software and cloud solutions.
Strong ML/DL fundamentals; experience with LLM inference optimizations, CV, NLP, or RL; Python ML solutions; tensor math with PyTorch/NumPy; research idea development; linear algebra; strong communication; BS/MS in CS/CE or related field; PhD in ML-related domain a plus.
Harvard University: Provides higher education and conducts advanced academic research.
7+ YOESeven+ years of post-secondary education or relevant work experience; Masters/PhD strongly preferred; Python ML stack (PyTorch, NumPy); experience with large medical datasets and LLMs; collaboration with clinicians and researchers; track record of publications.
WHOOP: Wearable technology for personalized health and performance tracking.
7+ YOE7+ years in ML/Software engineering; time series; production ML at scale; Python; cloud (AWS/GCP); SaMD/regulatory experience; leadership and cross-functional collaboration.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree, 6+ years building data-intensive distributed systems, 4+ years programming in Python/Scala/Java, 2+ years building ML systems; experience with ML frameworks, data pipelines, and production ML practices preferred.
CognexNASDAQ: CGNX: Provides machine vision systems and sensors for industrial automation
5+ YOEExperience designing, training, and deploying deep learning models for computer vision; strong Python/C++; knowledge of PyTorch/TensorFlow; embedded systems experience.
Boston Dynamics: Building advanced mobile robots for industrial and warehouse automation.
3+ YOEExperienced ML engineer in robotics; MS/PhD in CS/ML/Robotics; 3+ years building robotic algorithms; Python and ML frameworks (PyTorch, Jax); RL/VLA/Behavior Cloning; strong debugging and analytical skills.
Machine Learning Engineer - Artist-First AI Music Lab
New York City or Boston or United States
$138k-$198k/yrRemoteFull Time
SpotifyNYSE: SPOT: Digital music, podcast, and video streaming service.
Experienced in production ML, LLMs and prompt engineering, evaluation frameworks, data pipelines; hands-on with Python/Java/Scala and cloud platforms (GCP/AWS/Azure); strong communication and collaboration skills.
Python, Java, Scala, GCP, AWS, Azure, large language models (LLM)