Dieses Stellenangebot ist nicht mehr verfügbar
Über
Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered.
*---------------*
Minset is a VC-backed, early-stage deep tech AI startup building advanced AI systems to solve some of the hardest problems in U.S. healthcare Revenue Cycle Management (RCM).
We focus on:
* *Denials management* * *Autonomous medical coding* * *Patient payments*
Our work sits at the intersection of *large-scale ML, GenAI, and real-world production systems*in a highly regulated domain.
*---------------*
*The Role:*
We're looking for a Senior Machine Learning Engineer to design, train, and deploy advanced ML and AI models across structured and unstructured healthcare data.
This is a hands-on role for someone who enjoys building and training models end-to-end; from data pipelines and training loops through evaluation and production deployment.
*---------------*
*What You'll Work On:*
* Training advanced ML models on structured data * NLP-first systems operating on clinical and financial unstructured data * Computer vision models for document understanding * Pretraining and post-training of models, including reinforcement learning * Agentic AI systems with reasoning and tool use * Training at scale and large experimentation workflows * End-to-end deployment of models into production healthcare systems
*---------------*
*Desired Experience & Skills:*
_Experience_
* 5+ years of hands-on experience in machine learning or applied AI research * Demonstrated experience training models end-to-end (not just consuming APIs)
_Core Technical Skills_
* Expert-level Python * Strong experience with PyTorch * Model optimization experience (e.g., Unsloth or similar tooling) * Hands-on experience with distributed training frameworks such as DeepSpeed and Accelerate * Strong background in NLP; experience with computer vision is a plus * Experience working with large, text-heavy, messy datasets * Solid understanding of optimization, loss & reward functions, training stability, and evaluation
_LLM & GenAI Expertise_
* Experience with post-training techniques (RL, SFT) * Experience with model pretraining * Ability to reason about training failure modes and evaluation trade-offs * Experience building agentic AI systems (reasoning + tool use)
_Data, MLOps & Cloud_
* Experience building data pipelines; strong SQL skills * Knowledge of MLOps, model versioning, and production deployment strategies * Experience with orchestration tools * Experience with Azure (preferred); GCP is a plus
*---------------*
*What This Role Is Not:*
This role is *not*a fit if your background is primarily:
* Prompt engineering without model training * API-only usage of foundation models * Limited exposure to training loops, optimization, or evaluation * No experience deploying trained models into production
We're looking for engineers who like to *train, debug, and ship models*.
*---------------*
*Soft Skills:*
* Excellent problem-solving skills and comfort working independently * Strong communication skills with the ability to explain technical concepts to non-technical stakeholders * Collaborative mindset and strong sense of ownership
*---------------*
*Other Requirements:*
* Physical residency in the U.S. * U.S. permanent resident (Green Card holder) or U.S. citizen
*---------------*
*Nice to Have:*
* Contributions to open-source AI/ML projects * Published research or technical writing in AI / ML * Experience in healthcare / RCM
*---------------*
*Benefits:*
* Competitive salary * Equity (depending on experience / performance) * 401(k) * Fully remote work with home office budget * Health, dental, vision, and life insurance
*---------------*
Job Type: Full-time
Pay: $180,000.00 - $225,000.00 per year
Benefits: * 401(k) * Dental insurance * Health insurance * Health savings account * Life insurance * Paid time off * Vision insurance
Application Question(s): * Do you have any experience working in the healthcare space? xawqmyg If so, please elaborate.
Education: * Bachelor's (Required)
Experience: * Machine learning: 5 years (Preferred)
Location: * United States (Required)
Work Location: Remote
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.