470 machine learning scientist jobs at 246 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
Calico: Researching aging biology to develop longevity-improving therapies.
5+ YOEPhD in computational biology, bioinformatics, computer science, or related field; strong publication record; 0-5 years (Scientist) or 5+ years (Senior Scientist) in industry or academia; deep ML expertise; genomics knowledge; onsite four days/week.
Python, TensorFlow, PyTorch, Genomics data, DNA sequence analysis
Spotter: Provides capital and data insights to YouTube content creators.
5+ YOEMaster's or PhD in a quantitative field, 5+ years building and deploying production ML models; expertise in deep learning, reinforcement learning, recommendation/ranking systems; strong Python and SQL skills; excellent communication.
Cartesian: Providing spatial intelligence and inventory tracking for retailers.
PhD in CS/EE or related, deep ML expertise with time-series (transformers, probabilistic/state estimation), production-grade coding, publications in top venues, and strong communication skills.
Rime Labs: Developing enterprise-grade, real-time voice AI models.
PhD or equivalent in speech/ML; deep PyTorch expertise; experience with TTS, neural codecs, multimodal modeling; strong data quality discipline; production-ready pipelines; remote-friendly; visa sponsorship available.
PyTorch, Neural codecs, G2P, Normalization, Speech Synthesis, Distributed training
Curve Biosciences: Developing AI-powered blood tests for chronic disease monitoring.
PhD in CS, Statistics, Computational Biology or related field; or MS with equivalent research; strong PyTorch and Python; experience with ML on biological data; cloud and GPU workflows; collaborative mindset.
PyTorch, NumPy, SciPy, Pandas, Git, GitHub, Google Cloud Platform, Amazon Web Services
Superluminal Medicines: Accelerates small molecule drug discovery using generative AI.
2+ YOEPhD in Computational Chemistry, Computer Science, Machine Learning, or related; 2+ years ML in small molecule drug discovery; strong Python and DL; cross-functional collaboration.
2+ YOEPhD in Computational Biology, Computer Science, Chemistry, Physics or related; up to 2 years industry experience for Scientist or 2+ years for Senior Scientist; Python and deep learning libraries (PyTorch/JAX); deep learning model development; molecular dynamics; publications; GitHub portfolio.
Teladoc HealthNYSE: TDOC: Provides on-demand virtual medical care and mental health services.
8+ YOE8+ years ML/data science experience, Master's degree or higher, production ML lifecycle experience, strong Python/Spark/SQL skills, system design and experimentation competence.
Python, Spark, SQL, MLflow, Databricks, Delta Lake, Airflow, Terraform
Hinge HealthNYSE: HNGE: Digital provider of musculoskeletal care and physical therapy
7+ YOEBachelor's in a quantitative field, 7+ years building and deploying ML systems at consumer scale, shipped recommendation/sequential-decision systems, strong experimentation and statistics, proficiency in Python and SQL.
Cotality: Provider of property intelligence, data, and analytics solutions.
10+ YOEMaster's or higher in a relevant field or equivalent experience, 10+ years related experience, strong statistical and data mining skills, proficiency in Python, PySpark, AutoML, BigQuery/BQML, SQL and big data tools, cloud (AWS/GCP), and ability to lead technical projects.
The New York TimesNYSE: NYT: Publishes global journalism, digital subscriptions, and lifestyle media products.
7+ YOEPhD+4 years or 7+ years experience in ML or related field; experience designing and training embedding and language models, production deployment using Python, model evaluation, mentoring peers, and collaborating cross-functionally.
Python, transformer encoders, Two Tower architectures, LLMs, vision-language models, embeddings
Elevance HealthNYSE: ELV: Provides health insurance plans and integrated healthcare services.
4+ YOEBachelor's in a quantitative field or equivalent plus 4+ years experience; experience building/deploying LLMs, RAG, vector search, agentic systems, MLOps; proficiency with Python and modern AI frameworks; knowledge of Responsible AI and governance.
Expedition Medicines: Develops covalent small molecule drugs using generative AI.
2+ YOEPh.D. (2+ yrs industry) or M.S. (6+ yrs) in ML/computational chemistry/CS/applied math; expertise in molecular ML, quantum chemistry/DFT, generative models; Python and PyTorch experience; data curation and cross-functional collaboration.
Flagship Pioneering: Conceives, creates, and builds life science platform companies
2+ YOEPh.D. (2+ yrs industry) or M.S. (6+ yrs) with expertise in molecular ML, quantum chemistry/DFT, generative models; proficiency in Python and modern ML frameworks; experience integrating computational and experimental data.
StackAdapt: A technology that provides an AI-powered marketing platform to help marketers reach, engage, and convert audiences across programmatic channels.
Required MS or PhD in CS/Statistics/Operations Research or related; strong statistics, optimization and ML knowledge; proficient coding, data structures, algorithms; experience prototyping and productionizing ML.
ASMLNASDAQ: ASML: Manufactures lithography systems used to print patterns on wafers.
3+ YOEPhD (3+ yrs) or Master's (6+ yrs) in math/physics/engineering; extensive experience in physics-informed ML, model integration, data pipelines, optimization and deep learning; strong Python and software skills.
Python, PyTorch, JAX, C/C++, MATLAB, MLflow, Apache Spark, Microsoft Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Microsoft Azure Databricks
Iambic Therapeutics: Develops novel medicines using an AI-driven discovery platform.
3+ YOEMS in chemistry/bio/chemical engineering or PhD/equivalent; 3+ years relevant experience; strong Python and deep-learning fine-tuning skills; clinical dataset experience; data science and engineering best practices; familiarity with Docker, CUDA, Kubernetes, and Weights & Biases.