Applied AI Researcher
Designs, implements, and maintains complex AI/NLP models for the Verneek AI platform, focusing on fundamental research grounded in real-world applications. Requires MSc/PhD in AI/NLP, 4+ years Python/PyTorch experience, and strong AI fundamentals.
About the job
Responsibilities
- Design, implement, and maintain complex AI/NLP models supporting the Verneek AI platform
Minimum Qualifications
- MSc. or PhD degree in AI/NLP
- 4+ years of experience with Python
- Good grasp of fundamentals and the state-of-the-art in AI/NLP research
- 4+ years experience developing models with machine learning frameworks such as PyTorch
- Work authorization in the USA at the time of hire (continuing work authorization during employment can be sponsored by Verneek)
Preferred Qualifications
- Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems
- Experience in Transfer Learning and learning with limited data
- Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc.
- Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production
- Experience in building models in the commerce/retail domain
- Working knowledge of Scala
Benefits
- Stellar medical, dental, vision, disability, and life insurance
- Daily private Chef lunch, curated to personal diets
- Transportation Benefits
- 401K matching contributions
- Flexible PTO
- Visa/Green Card Sponsorship
- Career growth support through sponsoring learning opportunities and mentorship
Annual Salary Range: $40K-$200K
Skills
PyTorch, Python, Natural Language Understanding, Semantic Parsing, Dialogue Systems, Transfer Learning, NLP, Ai Research
Similar jobs
AI Research jobsResearch fellows propose, build, validate, and publish benchmarks or evaluation methodologies for measuring frontier AI performance on economically valuable professional and scientific work. The fellowship requires a specific research pitch, relevant technical or adjacent-field background, and a commitment of at least 20 hours per week.
Research Engineer focused on designing benchmarks, evaluation systems, rubrics, and failure-analysis workflows for frontier language models. The role requires strong applied AI research and coding experience, with expertise in model evaluation, data quality, and backend systems.
Conduct research on long-horizon, multi-agent AI behavior by designing agent environments, analyzing large-scale data, and running experiments. The role requires strong research judgment, rapid execution, independence, and familiarity with current AI developments.
Build, optimize, and evaluate long-running and multi-agent AI systems, along with tools for monitoring and analyzing their real-world behavior. The role requires software engineering experience with coding agents, strong independence, and familiarity with current AI developments.
Research Scientist developing and evaluating health-focused AI models, large language models, and agentic systems for clinical applications. The role requires advanced research experience, strong coding skills, healthcare or clinical-data experience, and top-tier AI/ML publications.