Sr. Machine Learning Engineer, Network Engineering

What To Expect We are seeking a highly skilled Senior Software Engineer to lead development of a platform that combines large scale LLM training with advanced network data processing and intelligent diagnostic capabilities. This role requires strong machine-learning engineering skills, deep software engineering fundamentals, and a solid understanding of network systems. What You'll Do Design, build, and maintain pipelines for LLM pretraining, supervised fine-tuning (SFT), reward modeling, PPO/RLHF, and model evaluation Develop scalable backend services and distributed training infrastructure Build data-ingestion and transformation pipelines for networking datasets including device inventory, topology data, ARP/MAC tables, routing state, metrics, telemetry, and logs Normalize and model heterogeneous networking data to support ML workflows and agent inference Develop intelligent agent capabilities, including intent classification, context tracking, troubleshooting logic, and action-routing workflows Collaborate with networking domain experts to translate operational needs into model and platform capabilities Implement CI/CD, model versioning, orchestration, and production-grade deployment pipelines Drive architectural decisions to ensure scalability, modularity, reliability, and performance What You'll Bring 5+ years of experience in applied ML, ML systems, or backend platform engineering Strong experience with LLM training, including SFT, LoRA/PEFT, RLHF, reward modeling, and PPO Proficiency with PyTorch and distributed training technologies Solid backend engineering skills in Python, including APIs, microservices, data modeling, and containerization Strong understanding of networking fundamentals such as IP addressing, Ethernet, VLANs, routing protocols (BGP/OSPF/ISIS), and topology concepts Experience working with networking telemetry or operational data (SNMP, flow data, metrics, logs, routing/forwarding tables) Ability to interpret and model complex network states, device relationships, and diagnostic patterns Benefits Medical plans – plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High‑Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D Short-term and long-term disability insurance (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $140,000 - $300,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Tesla #J-18808-Ljbffr Tesla