or apply directly on Dorsia's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 6 days Dorsia's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 22% of Dorsia's roles list one
- Ghost-job risk at Dorsia
- high 11 stale, 1 reposted of 18 open
- Hiring momentum
- 20 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Dorsia's own greenhouse board since 2026-08-03. Full hiring picture for Dorsia.
About this role
As a Machine Learning Engineer at Dorsia, you will develop intelligent systems that enhance product features and operational efficiency. Your responsibilities will include building and deploying ML models for various applications, managing the entire ML lifecycle, and collaborating with cross-functional teams to deliver impactful features. This role requires hands-on work across the stack, from data pipelines to model integration.
- benefits
- 5/5
- freshness
- 5/5
- career value
- 4/5
- 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 Dorsia as an employer.
What you need
- 5–10 years of experience in software or ML engineering
- Experience building, shipping and scaling ML models in production (NLP, ranking, classification, etc.)
- Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering
- Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment
- Experience with cloud services (AWS, GCP, or similar)
- Ability to reason about data and metrics—and a drive to tie models to real business outcomes
Nice to have
- Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems
- Understanding of retrieval systems, embeddings, or vector search
- Experience in luxury, hospitality, or marketplace products
- Familiarity with feature stores, and observability tools
- Startup mindset: high agency, comfort with ambiguity, bias to ship
What you get
- Flexible PTO
- Medical, dental, and vision insurance
- FSA
- Commuter benefits
- Free membership to One Medical
- Teladoc
Worth weighing
- In-office culture is non-negotiable; remote work is not an option
- The role demands long hours and a high-performance mindset, which may not suit everyone
- Compensation ranges are broad and depend on experience and internal equity, with no specific salary mentioned for the role
Summarised from Dorsia's posting. Read the full original.
Listed by Dorsia on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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