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.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
Cellanome: Develops a multi-omics platform for live-cell biological analysis.
5+ YOEBachelor’s or Master’s in a technical field; 5+ years (or 3+ years with Master’s) in algorithms, Python, AI/ML, computer vision; strong math; experience with image analysis and optimization.
Kodiak RoboticsNASDAQ: KDK: Develops autonomous driving technology for commercial trucking and defense.
MS or PhD in Computer Science, Robotics, Machine Learning, or related field; production ML deployment experience; Python/C++ with PyTorch/TensorFlow; distributed training; strong ML fundamentals and software engineering skills; cross-team collaboration.
General Atomics Aeronautical Systems: Designs and manufactures unmanned aircraft and radar systems.
5+ YOEAdvanced degree in CS/engineering with 5+ years (bachelor) or 3+ years (master); strong ML knowledge; able to work independently and in teams; DoD clearance required.
Voyager TechnologiesNYSE: VOYG: Provides advanced defense and commercial space technology solutions.
5+ YOEMust obtain U.S. government clearance; 5-15 years experience; Bachelor's in engineering; strong ML/deep learning background; proficiency in Python/Matlab/C/C++; experience with SAR and computer vision.
Spector AI: AI platform for industrial asset reliability and predictive maintenance.
3+ YOEGenAI ML engineer with 3+ years post-Bachelor or 2+ post-Master or 1 year post-PhD; strong distributed infra and GenAI workflows; startup mindset and leadership potential
Python, Kubernetes, Cloud Platforms, ML Frameworks, Knowledge Graphs, Multimodal Processing
San Diego or United States or United Kingdom or Spain or France or Mexico or Netherlands
$150k-$185k/yrRemoteFull Time
Mitek SystemsNASDAQ: MITK: Provider of AI-powered identity verification and mobile deposit solutions.
5+ YOEBachelor's in CS/EE/CE (or equivalent), 5+ years applied ML/ML engineering or computer vision experience, strong Python, experience with PyTorch or TensorFlow, AWS and production ML systems, dataset curation and model evaluation.
Wayve: Develops AI software for autonomous vehicle navigation.
Shipping deep learning systems to production; expert in deep learning; proficient in Python, C++, CUDA, and PyTorch; experience with real-time or robotics; strong leadership and collaboration.
Keysight TechnologiesNYSE: KEYS: Provides electronic design, test, and simulation software and hardware.
4+ YOE4+ years in ML engineering, performance engineering, or HPC; strong Python and C++; CUDA; training and inference optimization; Docker experience; production ML.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
5+ YOESr Machine Learning Engineer to build intelligent search experiences; 5+ years in ML, focus on search/NLP/recommender systems; strong C/C++ or Python; knowledge of search algorithms and evaluation metrics; excellent collaboration.
NubankNYSE: NU: Digital banking services including credit cards and personal accounts.
5+ YOE5-7+ years in applied AI/ML; deep learning architectures; Python with PyTorch/JAX/TensorFlow; knowledge of MLOps; strong problem solving and communication; experience with large-scale experiments.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).