Tesla Motors, Inc.
Sr. Machine Learning Engineer, Network Engineering
Tesla Motors, Inc., Fremont, California, us, 94537
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
Compensation and Benefits Along with competitive pay, as a full‑time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction
Family‑building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both with a $0 paycheck contribution
Company paid Health Savings Account (HSA) contribution when enrolled in the High Deductible Aetna 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
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back‑up childcare and parenting support resources
Voluntary benefits – 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 – $252,000/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.
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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
Compensation and Benefits Along with competitive pay, as a full‑time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction
Family‑building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both with a $0 paycheck contribution
Company paid Health Savings Account (HSA) contribution when enrolled in the High Deductible Aetna 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
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back‑up childcare and parenting support resources
Voluntary benefits – 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 – $252,000/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.
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