Staff AI Researcher - Generative AI

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare TechnologyIndustries

Requirements

Candidates must possess a BS/BTech or higher in Computer Science or a related field, with a minimum of 3 years of experience in deep learning and LLM work, and 8 years in machine learning and statistical analysis. They should have at least 3 years of Python experience and be proficient in selecting appropriate tools for data optimization problems. Experience with large-scale distributed systems, statistical software like Spark, and addressing challenges with incomplete or mislabeled data is also required. A PhD or Master's degree in a quantitative discipline is preferred, along with experience in security, sensitive data systems, Databricks/MLflow, designing agentic systems, and proficiency in deep learning frameworks like PyTorch or Tensorflow. Demonstrated leadership, self-direction, first-author publications, competition wins, and health-tech system knowledge are advantageous.

Responsibilities

The Staff AI Researcher will develop AI solutions to improve healthcare by partnering with engineering and analytics teams to integrate AI technology into products and workflows. This role involves harnessing knowledge from extensive medical datasets to train, fine-tune, and deploy AI models. Responsibilities include building prototypes with AI techniques, working with large datasets to solve complex analysis problems, and redesigning pipelines for data and query needs. The researcher will implement techniques for fine-tuning generative models for healthcare tasks, develop evaluation metrics for AI/ML models, and engineer feature pipelines. They will also set and uphold engineering process standards, deliver working Proof of Concept (POC) solutions, and manage trade-offs for speed, scalability, and time-to-market.

Skills

Generative 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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