ML Engineer
ML Engineer
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$ 180 - 225
1 Vacancy
Job Description
Job Description
Build secure deployable AI systems for industries where precision matters
Want to implement cuttingedge AI solutions for highstakes industries This role combines ML engineering expertise with realworld impact in aerospace healthcare manufacturing and defence.
Youll join a small but fastgrowing engineering team at a wellfunded startup transforming how regulated industries leverage AI. Founded by successful entrepreneurs with billiondollar exits theyve secured $20M and are already working with Fortune 500 clients where standard AI approaches fall short.
This role offers a unique chance to work on AI challenges with meaningful realworld impact with access to abundant compute resources for complex development. Youll help shape technical direction as an early team member balancing practical implementation with cuttingedge ML research across multiple highvalue industries in a noego culture focused on building working solutions.
As an ML Engineer youll bridge the gap between research and practical implementation ensuring sophisticated AI models work reliably in missioncritical environments.
Your focus:
- Implementing and optimizing models for specific client needs across regulated industries
- Building models (NLP or Computer Vision depending on your background)
- Working with LLMs such as API integrations finetuning and prompting
- Developing clientspecific models and adapting solutions using transfer learning
- Conducting evaluations and handling customer data onboarding
- Collaborating with the Applied AI team to operationalize research breakthroughs
You should have:
- 5 years of experience in ML or software engineering with ML focus
- Good practical experience in PyTorch or TensorFlow
- Experience deploying ML models in production environments
- Solid AWS knowledge (or comparable cloud platform expertise)
- Python proficiency and familiarity with ML deployment challenges
Nice to have:
- Computer vision or NLP expertise
- Experience in regulated industries (healthcare aerospace defence)
- Experience with Kubernetes
- Prior work with MLOps tooling and practices
- Science/engineering degree (Masters preferred)
They offer:
- Competitive salary $180k$225k depending on experience) plus bonus potential
- Significant equity package
- Comprehensive healthcare (medical dental vision)
- 401k contributions
- 20 days vacation and flexible working arrangements
YoullneedtobebasedintheUSSeattleorMiami(attractiverelocationpackageprovidedforFlorida).
IfbuildingsecurepracticalAIsystemsforindustrieswheredecisionstrulymatterappealstoyoureachoutforaconfidentialconversation.Allapplicantswillreceivearesponse.
Employment Type
Full-Time
