1 to 25 of 37 Ray Jobs

team. Technologies We Use: Languages: Python3, C++, Rust, SQL Frameworks: PyTorch, TensorFlow, Docker Databases: Postgres, Elasticsearch, DynamoDB, RDS Cloud: Kubernetes, Helm, EKS, Terraform, AWS Data Engineering: Apache Arrow, Dremio, Ray Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash Qualifications: Bachelor's degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending More ❯

Qualifications: Proficient in modern programming languages used in AI and large-scale systems, including Python, Java, C++, and Go Experience with modern data processing frameworks such as Apache Spark, Ray, Flink, or Databricks, and familiarity with distributed computing paradigms (MapReduce, cloud-native pipelines) Hands-on experience building and deploying recommender systems or large-scale ML models in production (e.g., leveraging More ❯

projects launched in products with a significant impact on users/customers. Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc. Demonstrated technical leadership in leading high-performing engineering teams and mentoring junior machine learning engineers. Exceptional communication skills, capable of collaborating with stakeholders from various backgrounds to translate the More ❯

/ML frameworks like PyTorch or TensorFlow, and how they integrate with infrastructure for model training, fine-tuning, and inference. Hands-on experience working with distributed systems such as Ray, Spark, or Kubernetes. Familiarity with cloud services (AWS, GCP, Azure) including compute and storage (e.g., EC2, GKE, S3). Confident communicating with both technical and non-technical stakeholders, and able More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

building distributed training pipelines for multi-node systems using PyTorch and Ray. Experience training large diffusion or transformer models. Preferably on video or time series data. Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework. Familiarity with cloud platforms such as AWS, GCP, or Azure. Nice to have Past training of video or time-series models Startup experience, comfortable with More ❯

. Experience with distributed systems collectives such as NCCL, OpenMPI Experience with software testing fundamentals Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) on distributed systems. Experience with Kubernetes, Ray or other MLOps tools and techniques used from definition to deployment Prior startup, small team or incubation experience Work experience at a cloud provider or AI compute/sub-system More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE More ❯

in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch) Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP) Strong analytical problem-solving skills with a proven track record of delivering measurable results Excellent communication, teamwork, and project management skills YOUR ROLE Your More ❯

in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch) Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP) Strong analytical problem-solving skills with a proven track record of delivering measurable results Excellent communication, teamwork, and project management skills YOUR ROLE Your More ❯

telemetry) Experience deploying models using serving stacks like NVIDIA Triton, TorchServe, or custom low-latency frameworks Background in computer vision, geometric learning, or time-series modeling Experience with Kubernetes, Ray or other distributed training and inference systems Previous startup experience or experience in fast-paced, cross-disciplinary environments $170,000 - $225,000 a year Our Total Rewards philosophy is designed More ❯

e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow). Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding More ❯

and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. A genuine passion for AI innovation and More ❯

and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. A genuine passion for AI innovation and More ❯

of Python a plus Strong communication skills and ability to work effectively in a collaborative team environment Preferred Qualifications Familiarity with relevant technology stacks (ie. AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch) Compensation US Zone 1 $217,600 - $294,400 USD US Zone 2 $195,800 - $265,000 USD US Zone 3 $174,100 - $235,500 USD More ❯

in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch) Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP) Strong analytical problem-solving skills with a proven track record of delivering measurable results Excellent communication, teamwork, and project management skills YOUR ROLE Your More ❯

in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch) Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP) Strong analytical problem-solving skills with a proven track record of delivering measurable results Excellent communication, teamwork, and project management skills YOUR ROLE Your More ❯