Staff MLOps Engineer
AiDASH, Inc. · Palo Alto, California, United States
Posted 13 days ago · $230,000 to $270,000
or apply directly on AiDASH, Inc.'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days AiDASH, Inc.'s roles stay open a median of 14 days
- Reposted
- No
- Salary listed
- Yes 22% of AiDASH, Inc.'s roles list one
- Ghost-job risk at AiDASH, Inc.
- high 9 stale, 0 reposted of 23 open
- Hiring momentum
- 20 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-11-14
Measured from postings appearing on and disappearing from AiDASH, Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for AiDASH, Inc..
About this role
As a Staff MLOps Engineer at AiDASH, you will be the first engineer on a new Data Inference AI Pipeline team, responsible for architecting the operational backbone of the model deployment pipeline. Your role involves building and maintaining infrastructure for model deployment, ensuring scalability, cost management, and resilience, while also collaborating with Data Science and Web Application teams. This hands-on position emphasizes establishing engineering standards and practices that will guide future team members.
- benefits
- 3/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- 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 AiDASH, Inc. as an employer.
What you need
- 7-10+ years in software/ML engineering, including 3+ years focused specifically on MLOps or ML infrastructure
- Hands-on production experience with AWS SageMaker (or an equivalent managed ML platform) for model deployment and serving
- A proven track record designing systems for elasticity/autoscaling, cost optimization, and failover/resilience at production scale
- Strong expertise in containerization and orchestration (Docker, Kubernetes) and in CI/CD built for ML workloads, including model versioning and automated testing and rollout
- Experience instrumenting and owning cost and performance metrics for the infrastructure you're responsible for
- The ability to set technical direction as a Staff-level IC, building buy-in across Data Science and other engineering teams
Nice to have
- Experience with large imagery, video, or 3D sensor and point-cloud data pipelines or other high-volume unstructured data at scale
- Experience with multimodal data (imagery, sensor/time-series, geospatial) beyond purely textual or tabular data
- Experience building MLOps practices from scratch on a new team
- Familiarity with model monitoring and drift-detection tooling, and GPU cost-optimization techniques (quantization, batching, Inferentia/Trainium or equivalent)
- A background in a regulated or enterprise B2B domain such as utilities, energy, infrastructure, healthcare, or finance
What you get
- Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children
- Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles
- 401(k) Plan: Begin contributing after two months of employment to prepare for your future. Currently, no company match is offered
- Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers
- Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you
- Winter Break: From December 25th through January 1st, we give everyone time off to recharge and enjoy time with family and friends!
Worth weighing
- This is a hybrid role requiring 2 days per week in the office, which may not suit all candidates.
- The role involves building a new team from scratch, which can be both an opportunity and a challenge depending on the candidate's experience with team dynamics.
- No specific mention of a company match for the 401(k) plan may be a consideration for long-term financial planning.
Summarised from AiDASH, Inc.'s posting. Read the full original.
Listed by AiDASH, Inc. on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.
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