Responsible for the safe and efficient operation of existing new chemical processing equipment, including process development and commercial manufacturing processes involving reactive chemistry and solids handling.
Compensation
Competitive salary with performance-based bonus plans
Responsibilities
Safely operate and work with industrial equipment using the proper PPE and safety procedures
Process chemical products using batch sheet instructions
Understand, read, use, and change process parameters in the field and remotely through DCS
Set up and process raw materials in development lab using piping, glassware and other lab equipment
Collect samples and conduct lab analyses (colorimetric titrations, viscosity measurements, etc.) and accurately record data
Requirements
High school diploma or equivalent
Nice to have: chemical operating experience
Nice to have: Microsoft applications (Outlook, Word, Excel)
Nice to have: knowledge of chemistry and chemical hazards
Lead research on hardware intelligence systems, developing evaluation frameworks, training pipelines, and agent integration for physical engineering contexts.
Responsibilities
Find where our agents fail on real hardware work
Turn failures into evals, environments, and training data
Build graders and verifiers that check agent work against measured data
Fix issues by adjusting prompts, tools, or context, fine‑tuning, running RL, or distilling models
Prototype across research bets such as hardware context for agents, computer use in engineering tools, linking simulation to physical tests, coordinating collections of agents, and edge intelligence
Requirements
Nice to have: post‑training (SFT, RL from feedback, distillation)
Define how Unity understands and moderates content flowing through its ad network, building multimodal representation strategies and infrastructure to support safety and relevance at scale.
Compensation
Base Salary Range: ¥831,400 - ¥1,247,000 CNY gross
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions).
Responsibilities
Define multimodal content representation strategy across video, image, playable, audio, and text
Partner with product, engineering, and science teams to translate regulatory and contractual obligations into measurable objectives
Define evaluation and labeling infrastructure for scarce, noisy, and contested labels
Build shared foundations such as content embeddings, game level features, evaluation harnesses, and labeling pipelines
Lead architectural direction across teams, raise design and review bar, and mentor senior and mid-level engineers
Requirements
Nice to have: regulatory and policy regimes affecting advertising content
Seeking a Sr. Staff Engineer to design and architect enterprise-wide Generative AI solutions, build AI gateways, and lead a team of AI/ML engineers.
Compensation
Base Pay Range 225,000.00
Responsibilities
Design and architect enterprise-wide Generative AI solutions, including reference architectures, integration patterns, and technical standards.
Design, build, and maintain an enterprise AI gateway to centralize access, governance, and monitoring of AI model consumption across the organization.
Develop and implement intelligent routing techniques to direct requests across multiple large language models (LLMs) and AI providers based on cost, latency, accuracy, and availability requirements.
Evaluate and integrate local/on-premises models as alternatives to third-party hosted models, with a focus on reducing operational costs.
Establish frameworks for measuring and demonstrating cost savings achieved through model selection, routing optimization, and infrastructure decisions.
Developing new foundational machine learning technology for Business AI, focusing on AI agent optimization, training of small and efficient foundation models, human-AI interaction, and agentic evaluation.
Compensation
$192,500 - $240,600
Responsibilities
Design and implement AI systems capable of handling complex workflows, including multi-step reasoning, planning, and decision making.
Explore and apply various orchestration patterns and architectures to solve business problems effectively.
Translate abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety.
Lead systematic experimentation across prompts, agents, model variants, and tool configurations.
Define and implement evaluation strategies for agentic systems, including task success, robustness, failure recovery, and hallucination analysis.
Lead technical vision and architecture for AI systems in a senior individual-contributor role, guiding advanced AI across commercial, medical, and technology domains.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands‑on technical leadership to project teams; set design direction, review architectures and code, and remove blockers on sophisticated problems
Lead the design of multi‑agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human‑in‑the‑loop patterns
Establish standards for evaluation, including automated and human‑in‑the‑loop methods, benchmarking, and quality gates pre‑ and post‑release
Drive approaches to fine‑tuning, distillation and reinforcement learning to improve quality, cost and latency over off‑the‑shelf models
Requirements
Bachelor's degree in computer science, mathematics, statistics, engineering, physics, computational sciences or a related quantitative field
Nice to have: Master’s or PhD in machine learning, computer science or related field
Nice to have: reinforcement learning (RLHF, RLAIF)
A senior individual-contributor role acting as the technical authority guiding advanced AI across the commercial landscape—from traditional ML to Generative and agentic AI.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands-on technical leadership to project teams; set design direction, review architectures and code, remove blockers
Lead the design of multi-agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human-in-the-loop patterns
Establish standards for evaluation, including automated and human-in-the-loop methods, benchmarking, and quality gates
Drive approaches to fine-tuning, distillation and reinforcement learning (including RL from feedback)
Lead and influence beverage production from concept through commercialization, ensuring quality, consistency, and innovation across multiple production locations.
Compensation
$ 113,400 - $ 170,200
Responsibilities
Lead beverage production process
Guide teams through root cause analysis
Ensure production samples meet style targets
Collaborate with Operations, Supply Chain, QA, Planning, Legal, and Compliance
Oversee tastings and sensory evaluation
Requirements
Bachelor's degree in science (STEM)
Nice to have: AI
Nice to have: advanced degrees in science or business
Pilot Plant Operator 1NewLubrizol Corporation · Wickliffe, US
Research Engineer, Hardware IntelligenceNewNominal · New York, US
Senior Beverage MakerE. & J. Gallo Winery · Modesto, US