health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Lead the exploration and application of Large Language Models (LLMs) for performing data synthesis and translation tasks, translating research into high-quality systems and models, and collaborating with cross-functional teams to develop and implement localisation features and tools.
Responsibilities
Leading the exploration and application of Large Language Models (LLMs) for performing data synthesis and translation tasks
Translating the latest research into high-quality systems and models that can be practically applied to further improve model localisation
Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment
Collaborating with translation, localisation quality, project management and engineering teams to develop and implement solutions
Developing and maintaining features and tools to help facilitate the data and model localisation process
Requirements
BS, MS or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or Machine Learning
Nice to have: BS, MS or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or Machine Learning
Nice to have: Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products
Nice to have: Comprehensive knowledge and hands-on experience with fine-tuning approaches, prompt optimization and training models
Nice to have: Experience adapting pre-trained LLMs for downstream tasks
Help roll out and test new Recycled Content (RC) tracking features inside our engineering platform, mapping material certs and supply chain data, and turning operational needs into clear system requirements.
Responsibilities
Work with internal teams to map current workflows and define needed system features
Partner with the system team to translate user needs into practical features and track setup progress
Help plan and run pilot workflows on target modules to ensure the process runs smoothly
Track how teams interact with the new features during builds and gather feedback to improve the platform
Requirements
Master’s degree student in Operations Research
Master’s degree student in Data Science
Master’s degree student in Industrial Engineering
Master’s degree student in Supply Chain Management
Solve challenging software engineering and operational problems across a broad range of SDS services, focusing on large-scale data platforms and AI Ops.
Responsibilities
Provide Support for both Analytics and Realtime Platforms
Develop applications to answer complex analytical and real-time operational questions
Working with external teams to drive the development of infrastructure needs
Help design, architect, build and maintain the applications and systems while using a variety of Cloud and AI technologies
Drive operational excellence across business-critical platforms through continuous exploration, benchmarking, and implementation of resilient operations and systems engineering solutions
Requirements
BS or MS in Computer Science
Nice to have: Spark
Nice to have: AWS
Nice to have: AI-driven Application Performance Monitoring
Lead a team responsible for the design and development of cutting-edge communications and data link systems to interconnect and support Coherent Distributed Networks (CDN)
Compensation
Salary Range: $110,000 - $240,000
Responsibilities
Design and develop advanced directive data links to connect nodes in a CDN
Implement approaches to reduce the RF signature created by the data links
Working with a group of timing experts, lead an effort to incorporate highly accurate time-transfer algorithms into the network
Lead the development of new communications capabilities with minimal guidance
Procure or develop low-cost, robust hardware to achieve data links in tactical environments between mobile nodes
Requirements
Bachelor’s degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
Nice to have: Graduate degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
Own the full support lifecycle for fielded systems of the Mission Support Operation Center (MSOC), ensuring product and customer support around the globe, including 24/7 on-call rotation.
Locations (6)
El Segundo, California, United States
Los Angeles, California, United States
Washington, District of Columbia, United States
San Francisco, California, United States
San Diego, California, United States
Associate Technology Consultant - Galaxy Graduate Program
Support end-to-end "Discover-and-Build" journey for global customers as part of the Galaxy Graduate Program, building AI-forward solutions on the Celonis Platform.
Compensation
$83,000—$90,000 USD
Responsibilities
Support strategic implementations of the Celonis Platform
Participate in process mining discovery activities and data transformation
Build and deploy AI-driven analyses and LLM integrations
Engage stakeholders in discovery workshops
Maintain high-quality documentation and quality control
Serve as a first responder on a 24/7 on-call rotation: receive, triage, diagnose, and resolve incidents from customers and deployed CHAOS teams, spanning software, networking, and hardware, escalating to Engineering with complete diagnostic context when a fix is beyond MSOC's reach.
Monitor real-time health, status, and telemetry of fielded systems worldwide; detect and resolve degradation proactively, and own the uptime and response-time metrics that define fleet reliability.
Perform remote diagnostics on systems deployed worldwide (SSH, log analysis, telemetry review, guided customer troubleshooting), and deploy on-site when remote resolution isn't possible.
Drive root cause corrective action (RCCA) across Mission, Engineering, and Manufacturing: lead investigations, run blameless post-incident reviews, and verify fixes before closing the loop.
Maintain fluency in each supported customer's mission: operating locations, configurations, and threat sets.