Senior Principal Machine Learning Engineer
SambaNova Systems · San Jose, California, United States
Posted about a month ago
or apply directly on SambaNova Systems's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 31 days SambaNova Systems's roles stay open a median of 33 days
- Reposted
- No
- Salary listed
- No 0% of SambaNova Systems's roles list one
- Ghost-job risk at SambaNova Systems
- high 21 stale, 2 reposted of 57 open
- Hiring momentum
- 68 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SambaNova Systems's own greenhouse board since 2026-08-03. Full hiring picture for SambaNova Systems.
About this role
As a Senior Principal Machine Learning Engineer at SambaNova, you will design, develop, and optimize machine learning models, particularly focusing on Large Language Models (LLMs) for SambaNova's specialized hardware. Your role will involve collaborating with hardware and software teams to enhance model performance, guiding the integration of ML solutions into production systems, and mentoring other engineers. You will also define technical strategies for ML development and tackle complex technical challenges across the organization.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SambaNova Systems as an employer.
What you need
- B.S. in Computer Science, Electrical Engineering, or related field
- 8+ years of industry experience in machine learning engineering
- Deep expertise in LLM training, fine-tuning, inference optimization, and evaluation at scale
- Strong background in ML algorithms, deep learning architectures, and modern training methodologies
- Demonstrated ability to lead and align cross-functional technical efforts
- Track record of independently scoping and delivering high-complexity, high-ambiguity technical projects
Nice to have
- M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field
- Experience with hardware-software co-design with non-GPU accelerators
- Publications or open-source contributions in LLM training or inference
- Experience with speculative decoding, mixture-of-experts, or long-context modeling in production
- Experience with reinforcement learning for post-training
What you get
- Competitive total rewards package including base salary and equity
- 95% premium coverage for employee medical insurance
- 77% premium coverage for dependents
- Health Savings Account (HSA) with employer contribution
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
- Flexible Spending Account (FSA) options
Worth weighing
- No specific mention of remote work options
- High level of technical expertise required may limit applicant pool
- Focus on cutting-edge technology may imply a fast-paced work environment
Summarised from SambaNova Systems's posting. Read the full original.
Listed by SambaNova Systems on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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