This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Applied Scientist, NLP/GenAI in United States.
This role offers a rare opportunity to lead cutting-edge AI research and development in document understanding and generative AI. You will design, build, and deploy advanced NLP solutions that transform how complex documents are analyzed, structured, and linked across multiple product teams. The position combines deep technical leadership with hands-on innovation, guiding large-scale AI projects from ideation to production. You will influence AI strategy, mentor team members, and collaborate across engineering, product, and research teams. Your work will have a direct impact on millions of users, helping shape next-generation intelligent systems while advancing the scientific frontier. This environment values creativity, technical excellence, and real-world application of state-of-the-art AI.
Accountabilities:
- Lead design, development, testing, and deployment of AI solutions for document understanding, semantic chunking, and knowledge graph construction.
- Serve as the technical lead, accountable for all research deliverables and scalable production systems.
- Collaborate with engineering and product teams to ensure robust, reliable, and high-performance AI solutions.
- Evaluate and optimize models for efficiency, accuracy, and latency, including knowledge distillation and model compression.
- Define comprehensive evaluation strategies and lead the creation of high-quality datasets and annotation workflows.
- Translate complex NLP challenges into innovative solutions aligned with business goals.
- Mentor and coach team members, building technical capability across NLP, GenAI, and AI research.
- Provide technical guidance to stakeholders and leadership on long-term AI strategy.
Requirements
- PhD in Computer Science, AI, NLP, or a related field, or a Master’s with equivalent experience.
- 7+ years of hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph solutions.
- Expertise in NLP, LLMs, deep learning frameworks (e.g., PyTorch, Hugging Face Transformers), and generative AI applications.
- Proven ability to lead technically, mentor teams, and influence without formal authority.
- Strong programming skills (Python preferred) and experience with large-scale AI deployments.
- Familiarity with semantic chunking, document classification, entity recognition, relation extraction, and knowledge graph construction.
- Experience designing annotation workflows, high-quality datasets, and evaluation frameworks.
- Preferred: experience in legal or enterprise document understanding, RAG workflows, AzureML, AWS SageMaker, or enterprise AI platforms.
Benefits
- Competitive base salary range: $147,000 – $273,000, with eligibility for performance-based annual bonus.
- Flexible work arrangements, including work-from-anywhere options and supportive work-life balance programs.
- Comprehensive healthcare, dental, and vision coverage.
- Retirement savings plans with company match.
- Paid time off including vacation, holidays, mental health days, parental leave, and sabbaticals.
- Professional development and growth opportunities in AI research and applied science.
- Employee well-being programs including fitness reimbursement, tuition assistance, and mental health support.
- Inclusive, award-winning culture recognized for diversity, equity, and social impact initiatives.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
- 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
- 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
- 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
- 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. Their internal hiring team then makes the final decision and manages the next steps, such as interviews or assessments.
United States
Hungary only
United Kingdom only
Colombia only
Italy only