or apply directly on Ifm Us's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days Ifm Us's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 0% of Ifm Us's roles list one
- Ghost-job risk at Ifm Us
- high 52 stale, 0 reposted of 52 open
- Hiring momentum
- 53 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-30
Measured from postings appearing on and disappearing from Ifm Us's own lever board since 2026-08-04. Full hiring picture for Ifm Us.
About this role
The Machine Learning Engineer will focus on building and operating ML infrastructure and MLOps systems that support research at the Institute of Foundation Models. This role involves designing scalable cloud infrastructure, developing data pipelines, and ensuring the reliability and observability of systems. The engineer will collaborate closely with researchers to translate experimental workflows into robust, production-ready systems.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
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 Ifm Us as an employer.
What you need
- 3+ years of experience in MLOps, ML infrastructure, or related backend/platform engineering roles.
- Strong experience with cloud platforms (preferably AWS) and core services for compute, storage, and access control.
- Experience designing and operating distributed systems (e.g., Kubernetes, Ray, or similar frameworks).
- Solid software engineering skills, including system design, debugging, and testing (Python, Docker, Git).
- Familiarity with data processing and pipeline orchestration tools (e.g., Spark, Kafka, or similar).
- Experience with observability practices (monitoring, logging, alerting).
Nice to have
- Experience in fast-paced or research-driven environments.
- Experience with large-scale video or multimodal data pipelines.
- Experience building automated model evaluation or benchmarking systems.
- Knowledge of cost optimization, security, and networking in multi-tenant environments.
- Familiarity with modern developer and AI-assisted coding (e.g., Codex, Cursor, Claude Code)
What you get
- Comprehensive medical, dental, and vision benefits
- Bonus
- 401K Plan
- Generous paid time off, sick leave and holidays
- Paid Parental Leave
- Employee Assistance Program
Worth weighing
- Salary range is quite broad ($150,000 – $450,000/year), indicating variability based on qualifications.
- Focus on research-driven challenges may require adaptability to fast-paced changes.
- Role involves balancing experimental and production-grade systems, which may lead to shifting priorities.
Summarised from Ifm Us's posting. Read the full original.
Listed by Ifm Us on their lever job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.
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