DC Engineer III

Maintain critical building systems - Plan and execute facility upgrades - Coordinate with vendors -

Produce maintenance records - Serve as an emergency

Inspect buildings, equipment, and systems

Coordinate maintenance and respond to service requests

Lead and supervise a team in tower cleaning and maintenance division

Ensure compliance with safety and regulatory standards

Lead facilities team for production, R&D, and office spaces.

Implement preventative maintenance to maximize uptime.

Conduct on-site facility condition assessments with a multidisciplinary team.

Evaluate HVAC, ductwork, piping, cooling towers, chillers, and boilers.

Support HVAC service team

Assist in daily operations and scheduling

Support relationships with various industry partners for an energy efficiency program.

Act as a liaison between program leads and OTAT.

Design ductwork, piping, and equipment for plumbing and fire protection.

Supervise or direct mechanical work; monitor progress and budget.

Inspect facilities and plan repairs/refurbishments

Manage equipment and supplies to meet safety standards and cut costs

Troubleshoot and repair building systems

Install office furniture

Develop LLM-powered agents for contact centers

Enhance customer engagement through actionable AI insights

Develop and deploy LLM-powered agents

Enhance customer engagement with AI solutions

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Integrate LLMs and intelligent agents into SaaS products

Design and implement scalable, production-ready AI solutions

Develop intelligent, agentic AI systems using cutting-edge technologies

Collaborate with AI leads, backend engineers, data engineers, and product managers

Act as a bridge between model creators and developers

Educate and inspire developers about AI offerings

Design and implement reward signals for recommendations

Lead A/B testing for mid-term signals in recommender systems

Define and lead technical vision for AI systems

Architect scalable LLMs with retrieval and real-time decisions

Design, scale, and ship reward signals for recommendations

Lead cross-team work to test mid-term signals in recommendation systems

Architect scalable ML systems.

Develop graph-based and transformer models.

Architect scalable ML systems for multi-modal omics data.

Develop graph-based and transformer-based models.

Lead the design and development of ML-driven search systems.

Build end-to-end retrieval pipelines with query understanding.

Design and implement ML-driven reward signals.

Collaborate across teams for integration and testing.

Lead research in computer vision.

Develop image and video models.