X, The Moonshot FactoryNASDAQ: GOOGL: Develops early-stage technologies and experimental projects.
3+ YOE3+ years building scalable data pipelines, strong Python and SQL skills, experience with data validation, dataset versioning, and ML data lifecycle for annotation and training.
Python, Pandas, NumPy, SQL, BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI Data Pipelines, Google Cloud Composer, Apache Airflow, Prefect, Dagster, Great Expectations, DVC, TFX, Data Validation
Machine Learning Engineer - Data Recommendation (CapCut)
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Strong coding and data structure skills, solid machine learning theory and practical experience, problem-solving ability, familiarity with ML, computer vision, NLP, or data mining.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology for passenger and freight transportation.
MS/PhD in CS/ML/AI or related field, or equivalent experience; RL/production ML experience; deep learning, sequence modeling, generative models; publish or ship impactful ML systems; large-scale training and data processing; lead ambiguous work.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
8+ YOE8+ years in data systems; large-scale ML data pipelines; Python; cloud data platforms; distributed processing (Spark, Ray, Kubeflow, S3); 3D/video foundation models; MLOps; strong software engineering.
CATHEXIS: Provides consulting and technology services to federal government agencies.
2+ YOEBachelor's in CS/EE/Statistics (MS/PhD preferred), ~2 years relevant experience, strong Python and applied ML skills, scalable ML experience, strong math and communication skills.
Python, MapReduce, Amazon AWS, Microsoft Azure, Google Cloud Services
Leonberg or London or Sunnyvale or Yokohama or Herzliya or Vancouver
HybridFull Time
Wayve: Develops AI software for autonomous vehicle navigation.
Experience building and shipping computer-vision focused deep learning systems; familiarity with 3D perception (LiDAR, multi-view geometry, tracking, 3D reconstruction); experience across ML data, training, evaluation, and scalable data pipelines.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
3+ YOE3+ years relevant experience and a Bachelor's degree (or equivalent). Experience with TensorFlow, PyTorch, scikit-learn, Python, cloud platforms (AWS/Azure/GCP), ML model deployment, and large-scale data processing; PhD preferred for research in LLMs/agents.
TensorFlow, PyTorch, scikit-learn, Python, LangChain, Google ADK, AWS, Azure, GCP
Seattle or United States or Redwood City or Santa Clara or Austin
$126k-$264k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years experience building and productionizing ML models; strong software engineering, model deployment, monitoring, data quality and debugging skills; stakeholder collaboration and mentoring experience.
HoneyBook: Provides business management and payment software for independent professionals.
4+ YOE4+ years production engineering experience (3+ years on data-intensive Python systems), hands-on LLM production experience, distributed systems and workflow orchestration fluency, strong English and Hebrew communication.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
5+ YOE5+ years data engineering experience supporting ML teams; strong SQL and Python; experience building ETL/ELT pipelines, orchestration (Airflow/Dagster/Prefect), dataset versioning, and working with unstructured audio/text data.
Articul8: Builds and deploys secure generative AI platforms for enterprises.
BS/MS/PhD in computer science or related, proficiency with deep learning frameworks (e.g., PyTorch), Python, experience with ML for text/vision, strong distributed systems and large-scale data pipeline expertise (Ray, Docker, Kubernetes).
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
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.
Neo.Tax: Automating enterprise accounting and R&D tax credit calculations.
6+ YOE6+ years in data science / ML shipping production models; strong Python, SQL; experience building data pipelines; production ML, experimentation, and cross-functional collaboration.
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Expertise in machine learning, reinforcement learning, control theory, large-scale data analysis, online experimentation; strong software engineering in Python and deep learning (PyTorch).
Happy Elements: Developer and operator of mobile games and digital entertainment content.
2+ YOEMS in CS or ML with 2+ years experience or PhD with 1+ years; expert in Python and ML frameworks; SQL; end-to-end ML production; strong math and communication skills.