or apply directly on OPSWAT's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 24 days OPSWAT's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 1% of OPSWAT's roles list one
- Ghost-job risk at OPSWAT
- high 56 stale, 5 reposted of 89 open
- Hiring momentum
- 118 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 OPSWAT's own greenhouse board since 2026-08-03. Full hiring picture for OPSWAT.
About this role
As a Machine Learning Engineer at OPSWAT, you will take full ownership of machine learning models, from data preparation and fine-tuning to evaluation and deployment. You will work on security-focused AI applications that run on customer hardware, ensuring models are robust against vulnerabilities and produce reliable outputs. Collaboration with engineering, product management, and QA teams will be essential as you ship models into production environments.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- 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 OPSWAT as an employer.
What you need
- Bachelor's degree in a technical field or equivalent practical experience
- Experience fine-tuning open-weight LLMs using LoRA, QLoRA, or similar techniques
- Strong Python skills, including building data pipelines for training datasets
- Experience keeping model output grounded, including retrieval-backed generation and hallucination control
- Experience with LLM serving and inference, including quantization and memory/latency/quality trade-offs
- Familiarity with tool-calling and agent-based LLM applications
Nice to have
- Rust literacy
- Experience with agent frameworks
- Awareness of LLM security risks
- Experience with compact models deployed on-premises or in resource-constrained environments
- Experience with evaluation tooling for LLM systems
Worth weighing
- No salary listed
- The role requires a strong focus on security and performance in constrained environments, which may limit flexibility in model design
- Experience with Rust is preferred but not required, which may impact collaboration with the engineering team
- The position involves working with sensitive data in high-stakes environments, which may add pressure to deliver secure and reliable solutions
Summarised from OPSWAT's posting. Read the full original.
Listed by OPSWAT on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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