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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning research with a focus on large language models and agentic systems, including advanced post-training methods and scalable data synthesis. Proven ability to collaborate across teams and communicate complex concepts effectively.
Highest-signal resume keywords
Ph.D. In Computer ScienceExpert-Level Knowledge Of Post-Training MethodsStrong Command Of PythonExperience With PyTorch Or JAXTrack Record Of Publications At Competitive ML/AI Venues
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning ResearchPost-Training MethodsData SynthesisModel TrainingModel EvaluationModel Architecture DesignMulti-Step ReasoningAgentic Systems EvaluationExperimental DesignProduction Deployment
Soft Skills
CollaborationCommunicationAccountabilityProject ManagementScientific Rigor
Tools & Technologies
PythonPyTorchJAXEvaluation InfrastructureTraining PipelinesData Curation PipelinesLLM-as-Judge FrameworksSynthetic Data GenerationAdversarial Dataset ConstructionResearch Engineering
Industry Keywords
Large Language ModelsAgentic SystemsReinforcement LearningSupervised Fine-TuningAlignment TechniquesEnterprise WorkflowsResearch CultureScientific CommunityNeurIPSICLR
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Work on a high-impact research agenda on large language models and agentic systems
- Contribute to projects involving data synthesis, novel model architectures, model training, evaluation, and production deployment
- Design and execute post-training experiments using supervised fine-tuning, RLHF, RLAIF, DPO, and emerging alignment techniques
- Improve multi-step reasoning, planning, and tool use in enterprise agentic workflows
- Build novel evaluation benchmarks and methodologies for complex, real-world enterprise tasks
- Develop scalable data synthesis and curation pipelines
- Build LLM-as-judge frameworks, synthetic data generation, and adversarial dataset construction
- Shape WRITER's model architecture and training roadmap
- Translate research insights into improvements to enterprise-grade LLMs
- Work with research engineering and product teams
- Publish and present original research at top-tier venues
- Represent WRITER at the frontier of the field and contribute to the broader scientific community
- Collaborate with researchers and engineers to maintain scientific rigor, experimental quality, and research culture
- Report to the VP of AI research
Requirements
What you’ll need- 4+ years of hands-on ML research experience, including years obtaining an advanced degree
- A Ph.D. in Computer Science, Machine Learning, NLP, or a related field, or equivalent demonstrated research experience with a strong portfolio of independent, published work
- Expert-level knowledge of post-training methods including SFT, RLHF, RLAIF, DPO, GRPO, and related alignment and reasoning techniques
- Track record of applying post-training methods to real, production-grade systems
- Strong command of Python and PyTorch or JAX
- Engineering depth to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows
- One or more publications at a competitive ML/AI venue such as NeurIPS, ICLR, ICML, ACL, EMNLP, or equivalent
- Hands-on experience designing or evaluating agentic systems
- Experience with models that plan, reason through multi-step tasks, use tools, and recover gracefully from errors
- Ability to collaborate across research, engineering, and product and communicate complex ideas clearly to technical and non-technical audiences
- Ability to drive projects end-to-end and take accountability for results
- Role is open to Senior applicants
Benefits
Comp & perks- Generous PTO, plus company holidays
- Medical, dental, and vision coverage for you and your family
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Flexible spending account and dependent FSA options
- Health savings account for eligible plans with company contribution
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Company stock options
- 401k
- Career development
- Well-being offerings