Hardware Development Engineer (Starlink)

Drive applied research initiatives using LLMs for real-world impacts.

Utilize Transformer architecture mechanics and LLM inference pipelines effectively.

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Develop and maintain AI model serving infrastructure

Implement backend solutions using Python

Guide customers through the product journey

Build custom demos and prototypes

Own customer reporting and analysis

Write, maintain, and optimize SQL queries

Guide customers through product journey

Build custom demos and prototypes

Architect and build Conversational AI products

Lead and mentor engineering teams

Developing AI models for voice cloning & text to speech

Creating low-latency and cost-effective solutions

Presenting and demonstrating Esri software to strategic customers

Acting as an expert on the Esri platform

Lead end-to-end EDI implementations for clients

Collaborate with cross-functional teams

Support reporting, visualization, and presentation of video viewership

Identify ad product opportunities in collaboration with Sales/BD/Ad Ops

Partnering with People AI product lead

Shape use cases and run experiments

Design and develop high-performance backend services with Python and FastAPI

Translate ambiguous business and technical requirements into concrete designs

Build systems for Twitch ecosystem connectivity

Operate consumer-scale services for VODs, Clips, and Stories

Collaborate with scientists and product managers

Architect secure and privacy-preserving AI solutions

Support PMs and Traders in executing investment strategies

Manage daily trade blotters and approvals for accuracy

Partnering with senior stakeholders to implement AI ideas in production

Designing and implementing multi-step agent-based workflows

Architect scalable data pipelines for healthcare data

Lead technical decision-making for data infrastructure

Applying analytics, statistics, and machine learning for decision-making

Developing predictive models for pricing, underwriting, and claims

Lead strategy, planning, and execution

Develop ML algorithms for efficiency improvement

Lead technical delivery for federal deployments

Design mission-critical applications for federal customers

Act as a strategic partner to stakeholders

Develop dashboards, reports, and presentations

Navigate ambiguity and break down complex problems

Champion systemic improvement

Investigate child safety violations

Develop detection signals using SQL, Databricks, Python

Lead and own the Guides & Surveys product

Collaborate with cross-functional teams

Build and maintain data pipelines with Fivetran, BigQuery, Sigma

Manage marketing tech stack and automate outbound campaigns

Resolve complex MongoDB issues

Collaborate with product and engineering teams

Collaborate with cross-functional teams to deliver fault-tolerant products

Tackle technical challenges and guide decisions

Review and respond to sensitive content escalations

Investigate complex cases to identify abuse sources

Design, implement, and manage cloud infrastructure for applications, data, and tools.

Architect scalable AWS environments using various AWS services and best practices.

Design, develop, and deploy AI Agents and ML models

Collaborate with cross-functional teams

Design and build internal pricing service and data models for Python rating engines

Collaborate across engineering, pricing, and product to scale pricing platform

Design security alerts and response playbooks

Monitor and defend corporate infrastructure

Lead technically complex projects

Mentor peers and raise technical bar

Monitor and report tech spend for optimization.

Collaborate with engineering/product teams to reduce costs.

Lead technically complex projects and mentor teammates

Drive projects from concept to production with reliability

Build relationships and support selling Esri software

Craft geospatial solutions with business value

Build, improve, and scale infrastructure

Design and implement enterprise processes

Design and build self-serve ETL/ELT pipelines for batch and streaming workloads

Own pipeline reliability, data quality SLAs, and schema evolution

Develop and maintain AI model-serving solutions

Implement high availability applications on Kubernetes

Architect and build innovative AI products

Lead and mentor engineering teams

Guide customers through product lifecycle

Build custom demos and prototypes

Act as primary solutions engineer for enterprise partners

Secure long-term partnerships for commercial efforts

Build and improve backend services for search and detection workflows

Design and ship features across APIs, services, and UI

Write well-crafted code with Python and Go

Participate in code reviews and explain design decisions

Collaborate with team members to ship features

Improve quality, coverage, and maintain CI culture

Design and develop full-stack firmware for new product initiatives

Provide hardware support for sensors, flash, and wireless communication

Lead platform squads effectively

Drive technical and strategic direction

Build and own pricing systems for optimization

Design and conduct growth experiments to improve win rates and profitability

Lead and manage ML projects for credit risk modeling

Collaborate with various teams and stakeholders