Hatch IT

Staff AI Researcher - Generative AI

Remote

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare TechnologyIndustries

About the Role

hatch I.T. is partnering with a rapidly growing healthcare technology company to find a Staff AI Researcher - Generative AI.

As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of people. The company empowers primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows.

As a Staff AI Researcher, you will lead the way to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. You will have a unique opportunity to train, fine-tune and use AI models using medical data we collect from millions of patients across the country.

Primary Duties

  • Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company.
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems to harvest data.
  • Re-design current pipelines and systems to meet the growing data and query needs.
  • Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks.
  • Develop evaluation metrics and benchmarks to assess the quality and performance of AI/ML models.
  • Experience in designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance.
  • Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.
  • Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.

Minimum Qualifications

  • Employment Type: Full Time
  • Education: BS/BTech (or higher) in Computer Science or a related field required.
  • Experience:
    • 3+ years of relevant deep learning and LLM work experience.
    • 8+ years of relevant machine learning and statistical analysis experience.
    • 3+ years of Python language experience.
    • Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
    • Experience working with large-scale distributed systems at scale and statistical software (e.g. Spark).
    • 3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem.

Preferred KSA's

  • Education: Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.
  • Skills:
    • Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
    • Experience with security and systems that handle sensitive data.
    • Experience with Databricks/MLflow.
    • Experience with designing and implementing production-ready agentic systems.
    • Proficiency in at least one major deep learning framework (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures.
    • Demonstrated leadership and self-direction.
    • Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.
  • Accomplishments:
    • First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP).
    • Winners in ACM-ICPC, NOI/IOI, Kaggle.

Physical Requirements

  • Sitting for prolonged periods of time.
  • Extensive use of computers and keyboard.
  • Occasional walking and lifting may be required.

Skills

Generative AI
AI
Machine Learning
Deep Learning
LLM
Data Engineering
Feature Engineering
Data Processing
Data Transformation
Model Training
Model Fine-tuning
Evaluation Metrics
Benchmarks
Python
Data Analysis
Pipeline Design
Scalability
Optimization

Hatch IT

Specialized recruitment for tech startups

About Hatch IT

Hatch IT focuses on recruitment for tech startups and small businesses, helping them find skilled engineers who fit their culture. They do not operate on a commission basis, which allows them to prioritize quality over quantity in candidate selection. By integrating with clients' tools like Slack and Applicant Tracking Systems, Hatch IT streamlines the hiring process and reduces the workload for managers. Their goal is to simplify hiring while providing predictable costs and expert guidance on compensation and market trends.

McLean, VirginiaHeadquarters
2012Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees

Benefits

Premium insurance
Mental health days
Caregiver leave
Time off
Internet reimbursement
Savings plan
Anniversary reward program
Additional benefits

Risks

Increased competition from local firms in Durham may challenge Hatch IT's market share.
AI-driven recruitment platforms could reduce demand for traditional services.
Economic uncertainty may lead to reduced spending on recruitment services.

Differentiation

Hatch IT offers a subscription model for recruiting, marketing, and community engagement.
They integrate with clients' tools like Slack and ATS for seamless recruitment processes.
Hatch IT focuses on tech startups, ensuring cultural and technical fit for candidates.

Upsides

Expansion into Durham opens new market opportunities for Hatch IT.
Growing demand for remote work solutions boosts Hatch IT's recruitment services.
Emphasis on diversity in tech hiring aligns with Hatch IT's sourcing capabilities.

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