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TensorStax
TensorStax is seeking a Research Engineer specializing in Reinforcement Learning to develop autonomous AI systems for managing mission-critical data infrastructure. The role involves creating RL environments, fine-tuning language models, and incorporating recent RL advancements into practical applications. The engineer will work on cutting-edge research to enhance language models' reasoning and problem-solving capabilities in large-scale data environments.
TensorStax is an autonomous AI platform for data engineering that uses AI agents to plan, generate, validate, and self-heal production-grade data pipelines. It automates data model and test generation, produces Git-based changes (PRs), offers dry-run validation, and provides real-time monitoring and observability. The platform integrates with dbt, Airflow, Spark, AWS Glue, Databricks and major warehouses (Snowflake, BigQuery, Redshift), and can be self-hosted while never accessing raw data. Built for enterprises, TensorStax includes security and compliance features such as HashiCorp Vault, SOC 2 Type II, RBAC, GDPR support, and audit logging.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for TensorStax.
Reinforcement Learning Engineer
Bright Vision Technologies
Reinforcement Learning Engineer
Bright Vision Technologies
Reinforcement Learning Engineer
Bright Vision Technologies
Reinforcement Learning Engineer
Bright Vision Technologies
Reinforcement Learning Engineer – Remote
Bright Vision Technologies
Reinforcement Learning Engineer – Remote
Bright Vision Technologies