обновлено 4 дня назад
AI / Machine Learning Talent (AI/ML)
154 100 - 341 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI / Machine Learning Talent (AI/ML): Building and improving production AI and machine learning systems for healthcare revenue cycle management with an accent on model evaluation, scalable services, and measurable business outcomes. Focus on optimizing training and inference performance, translating business problems into AI solutions, and partnering with engineering, product, and domain experts.
Location: San Jose, California, United States; hybrid with onsite attendance three days per week on Tuesday, Wednesday, and Thursday
Salary: $154,100–$341,600 per year
Company
provides technology-enabled revenue cycle management solutions and point solutions for U.S. health systems, hospitals, and affiliated physician groups.
What you will do
- Design, build, evaluate, and improve machine learning and AI systems in production.
- Translate healthcare revenue cycle business problems into AI/ML solutions and measurable outcomes.
- Develop experiments, metrics, datasets, and success criteria for model evaluation.
- Productize models as scalable, reliable, and cost-efficient services, including model serving and APIs.
- Optimize training and inference for latency, throughput, and cost, including distributed training where applicable.
- Partner with engineering, product, research, and domain experts while communicating technical findings and tradeoffs.
Requirements
- Proven experience working with machine learning or AI systems in real-world or production environments.
- Python required, with familiarity with SQL and potentially Java, C++, or Go.
- Experience with model development, evaluation, optimization, experimentation, or real-world data analysis.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field required.
- Relevant industry experience typically ranges from 3+ years for senior profiles to advanced leadership or ownership experience for Staff/Principal profiles.
- Ability to work in the San Jose hybrid arrangement with onsite attendance three days per week.
Nice to have
- Master’s degree or PhD, particularly for research-oriented roles.
- Experience with PyTorch, TensorFlow, Hugging Face, fine-tuning, prompt engineering, PEFT, or RLHF.
- Experience with statistics, causal inference, model serving, distributed systems, or multi-GPU training.
- Publications or novel research contributions.
Culture & Benefits
- Culture focused on collaboration, growth, innovation, customer obsession, and continuous improvement.
- Healthcare, time off, retirement, and well-being benefits for associates and their families.
- Professional certification opportunities and tuition reimbursement.
- Quarterly and annual incentive programs for eligible employees.
- Work-life flexibility and a focus on purpose and values.
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