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.
RunSybil: A cybersecurity startup focused on automated pentesting.
4+ YOE4+ years in experimental design and data infrastructure; experience with security data problems; ability to work autonomously in ambiguous environments.
Python, Jupyter, SQL, Pandas, NumPy, Scikit-learn, Machine Learning, Data Pipelines
Careers API Sandbox: A sandbox account for implementing the Careers API with mock data.
Proven ML experience, strong math/statistics/algorithms knowledge, understanding of software architecture and data structures, experience with Keras and scikit-learn, Bachelor's in relevant field; Master's a plus.
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).
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
EntravisionNYSE: EVC: Operates Spanish-language media stations and provides digital advertising solutions.
2+ YOE2+ years data science experience; strong coding in Python, Scala, Java; production algorithm development; SQL and data warehousing; Bitbucket/Git; deep learning, statistical methods, problem solving, communication, and mentoring skills.
Python, Scala, Java, Bitbucket, Git, SQL, data warehousing
SpotifyNYSE: SPOT: Digital music, podcast, and video streaming service.
Senior ML engineer to design and productionize ML systems for recommendations; strong Python/Java/Scala, PyTorch, and large-scale data processing experience.
Rockstar Games: Creates and publishes world-class open-world video games.
5+ YOE5+ years of production ML, degree in engineering/technical field, Databricks/MLflow, Airflow, Astronomer, CI/CD tools, Terraform, GitHub, scalable ML.
Graham Capital Management: Manages alternative investment funds using quantitative and discretionary macro strategies.
3+ YOE3+ years in ML/statistics on large unstructured data; degree in CS/Engineering/Operations Research; strong Python/C++ and data-processing skills; able to communicate findings and deploy models in containerized environments; experience with time series and cross-team collaboration.
FanDuelNYSE: FLUT: Offers online sports betting and daily fantasy sports services.
7+ YOE7+ years in software/ML, 4+ years scalable architectures, 2+ years vector/semantic retrieval, 2+ years platform components, 1+ years cross-team leadership, cloud experience (AWS/GCP/Azure).
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE10+ years applying machine learning and optimization to production systems; deep statistics/ML expertise; production ML lifecycle experience (feature engineering, model serving, monitoring); strong software skills in Python, SQL, Java/Scala; excellent communication.
SkyLinkBME: AMS: AI-powered corporate travel booking and management platform.
2+ YOE2+ years MLE/Software experience; strong NLP/LLM knowledge; chatbot/AI agent experience; API access to LLMs; strong Python; data curation and testing; shipping mindset.
Finch: AI pre-litigation platform for personal injury law firms.
3+ YOE3+ years building and deploying production ML systems; strong Python; experience with LLMs, prompt design, and end-to-end ML stack; track record of shipping production AI systems.
New York City or San Francisco or Los Angeles or Seattle or Austin or Washington or Philadelphia or San Diego or Chicago or Atlanta or Salt Lake City or United States or Australia or Canada or South America
$170k-$235k/yrRemoteFull Time
Flex: A financial platform allowing renters to split monthly rent payments.
6+ YOEMaster's (or PhD) in CS/Engineering, 6+ years ML engineering experience, production ML pipelines, Python, TensorFlow/PyTorch/scikit-learn, cloud (AWS/GCP/Azure), distributed frameworks (Spark, Kubernetes), CI/CD and model monitoring.