Build, optimize, and scale the distributed training infrastructure for Peano AI’s foundation models, leveraging thousands of NVIDIA GB300/VR200 GPUs and TPU v7x accelerators for high throughput and efficiency.
Responsibilities
Build, optimize, and scale the distributed training infrastructure
Own and improve throughput, efficiency, scalability, cost, and reliability of end-to-end pretraining and RL pipelines
Architect distributed data loading, sharding, checkpointing, batching, and accelerator utilization for multi-node LLM training
Integrate and optimize RL components: rollout, reward modeling, environment orchestration, and mid-training signal injections
Work with and extend frameworks such as Megatron, Transformer-Engine, verl, slime, and other high-performance training libraries
Requirements
Nice to have: experience with large-scale/foundation-model toolkits
Nice to have: familiarity with training pipeline scaling
Nice to have: mixed-precision
Nice to have: memory optimization
Nice to have: deep understanding of supervised and RL-based training cycles
Lead research and development of small and efficient language models, collaborating with cross-functional teams to advance training techniques, optimize architectures, and scale AI solutions.
Seeking Sr Cloud Architects to design and architect enterprise-grade data analytics solutions, focusing on scalable cloud infrastructure using AWS to transform healthcare services.
Responsibilities
Design and architect enterprise-grade data analytics solutions, with a strong focus on building scalable cloud infrastructure using AWS.
Lead project teams in setting technical direction for large-scale data initiatives.
Serve as the key liaison to overseas HIH resources working across various data and analytics projects.
Collaborate with stakeholders across different functions to translate business requirements into scalable technical solutions.
Advocate for and enforce best practices, including data governance, security standards, and guidelines within all projects.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Artificial Intelligence, or a related field
Data Architecture Intern supporting data-driven decision-making for missile systems development and operations.
Responsibilities
Support the development, design, and maintenance of data warehouses and transformation tools that enable business insights through dashboards and reports.
Assist with data pipeline design and maintenance, including transformation mapping, data flow diagrams, and metadata collection.
Help document conceptual, logical, and physical data models, schemas, and metadata solutions.
Support the development and documentation of data ontologies, business entities, properties, and relationships.
Participate in planning sessions with customers and project teams to understand business needs and translate them into data integration and reporting requirements.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Data Analytics, Engineering, or Mathematics
Lead data architect responsible for designing and delivering enterprise data solutions across SAP and non‑SAP ecosystems as part of bp’s transition to SAP RISE.
Compensation
Generous salary package including an annual bonus program and individual performance-based incentives.
Responsibilities
Build and implement scalable data architectures spanning SAP and non‑SAP platforms
Develop conceptual, logical, and physical data models for BI and analytics
Design data integration solutions using SAP Datasphere, Azure Data Factory, Databricks, AWS Glue, etc.
Collaborate with stakeholders to define pain points and author data architectures
Design operational analytics on SAP S/4HANA Embedded Analytics
Requirements
Bachelor’s degree in relevant field
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
Senior individual‑contributor Principal Data Scientist responsible for measurement, impact, and evaluation of Zillow’s Connections Platform and broader Data & Infrastructure Platform.
Compensation
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $182,100.00 - $290,900.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $173,000.00 - $276,400.00 annually. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Responsibilities
Define and operationalize measurement strategy for Connections Platform
Own evaluation of LLM‑based and agentic systems
Design and analyze A/B tests and causal inference studies
Build evaluation frameworks and metrics
Instrument metrics and data pipelines
Requirements
PhD in Statistics, Econometrics, Data Science, or related field
MS in Statistics, Econometrics, Data Science, or related field
BS in Statistics, Econometrics, Data Science, or related field
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