NetSuite · 1 month ago
Senior Applied Scientist - Agentic AI
United States
Full-time
Remote
Mid, Senior Level
$98K/yr - $200K/yr
3+ years expNetSuite is a world leader in cloud solutions, and they are seeking a Senior Applied Scientist to innovate in AI agents for enterprise analytics. The role involves designing agent architectures and collaborating with product teams to implement and evaluate agentic systems for improved enterprise outcomes.
Cloud ComputingComputerCRMiOSSaaSSoftware
Responsibilities
Perform end-to-end agentic system development: define agent goals and decomposition strategies; design planners, controllers, and executors; implement tool-use orchestration (APIs, SQL, vector search, code execution) and robust recovery/rollback
Advance planning and reasoning: hierarchical/task planning, self-reflection and critique, debate/tree-search methods, constraint satisfaction, and chain-of-thought/toolformer-style approaches to improve correctness, faithfulness, and robustness
Ground LLMs on unstructured data: build retrieval and indexing over documents, semi-structured data
Ensure safety, privacy, and compliance: content safety policies, least-privilege tool access, execution sandboxes, prompt/memory redaction, PII handling, and governance appropriate for regulated enterprise settings; implement interpretable action logs
Productionize agentic solutions: collaborate with platform teams to ship planning/orchestration services and evaluation harnesses; implement observability, telemetry, canarying, rollback, and lifecycle management for agent workflows
Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact
Qualification
Required
PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, or related field with a focus relevant to LLMs, planning/reasoning, NLP, or autonomous/interactive systems
Experience (industry or applied research) building and deploying ML/LLM systems, including agentic workflows, retrieval/grounding, and evaluation at scale
Demonstrated expertise in agentic methods: multi-step planning, tool-use orchestration, reflection/critique, and structured reasoning (e.g., CoT, programmatic planning)
Strong background in retrieval over unstructured data, RAG architectures, document preprocessing, indexing, and provenance tracking for accuracy, safety, and robustness
Proficient in Python and modern ML stacks: PyTorch/JAX, Transformers, vector databases/IR libraries, orchestration frameworks; solid software engineering practices and experimentation discipline
Track record of publications in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) or equivalent demonstrated impact in production systems
Preferred
Experience designing data/feedback pipelines for agent evaluation: step-level labeling, trace audits, and active learning for hard cases; familiarity with bias/variance trade-offs
Knowledge of search/planning and decision-making: tree search, bandits for tool/model selection, off-policy evaluation for policy changes, and statistical testing for online experiments
Familiarity with LLM efficiency and serving: PEFT/LoRA/QLoRA, quantization, KV cache management, batching, speculative decoding, routing across models/skills, and throughput/latency trade-offs
Experience integrating safety/guardrails and policy enforcement: sandboxed tool execution, OAuth/secret management, rate-limiting, jailbreak/prompt-injection defenses, and privacy-preserving telemetry aligned with enterprise compliance
Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders
Practical experience with experiment tracking, model registries, CI/CD for ML, and production observability for agent traces and actions
Benefits
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Company
NetSuite
NetSuite is cloud computing company dedicated to delivering business applications over the internet.
Founded in 1998Redwood Shores, California, USA
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$157.79MKey Investors
Meritech Capital PartnersTako VenturesStarVest Partners
2016-07-28Acquired
2007-12-20IPO
2007-02-05Secondary Market· $17.87M
Leadership Team
Brian Chess
SVP Technology and AI
E
Eli Johnson
Vice President, Global Sales Productivity
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