• Lead the translation of reaction energetics derived from atomistic simulations and machine learning potentials into process-scale predictions. • Own the design and execution of microkinetic and reactor-level modeling workflows for industrially relevant catalytic chemistries. • Connect atomistic simulation outputs to activity, selectivity, and catalyst lifetime predictions. • Partner with industrial validation partners to test and refine models against real-world data. • Mentor junior scientists and shape the technical roadmap for microkinetic capability within SandboxAQ.

• Define the technical vision for how offer decisioning systems should interconnect across partnerships, always-on systems, and marketplace optimization • Build and guide conversion modeling approaches that optimize decisions across multiple stages of the customer journey rather than in isolated local steps • Ensure models and decision policies at one stage account for downstream impacts, business constraints, and later-stage optimization opportunities • Design interfaces between decision systems and optimization or constraint-specification components • Drive cross-functional technical alignment across teams that currently own adjacent pieces of the problem • Scope and lead large, ambiguous initiatives that require both deep modeling judgment and strong systems thinking • Partner with scientists, engineers, and cross-functional stakeholders to translate analytical insights into durable production approaches • Help ensure ongoing work across domains progresses toward a unified architecture and decisioning strategy • Contribute directly to implementation and experimentation efforts, including prototyping models, reviewing code, and helping teams operationalize new approaches in production environments.

Role Description Our distributed team is looking for an experienced Applied Scientist with a strong background in Large Language models to develop high-performance Generative AI features across Cloud and Edge environments. In this role you will drive the transition from research to production by optimizing local inference through model compression and quantization for private, real-time Edge performance, while also engineering scalable RAG architectures and multi-agent systems for Cloud deployment. Your daily responsibilities encompass the full research lifecycle, including formulating hypotheses, generating synthetic datasets, fine-tuning LLMs, and validating safety and alignment, ultimately culminating in technical reports. Responsibilities and Duties - Design and implement advanced methods in prompt orchestration, fine-tuning (SFT/RLHF/DPO), and autonomous agentic workflows - Curate high-quality training data from large-scale text and multi-modal sources - Identify patterns in model hallucinations and visualize evaluation metrics for clear interpretation - Tune hyperparameters and improve inference speed/accuracy through PEFT (LoRA/QLoRA) and advanced prompt engineering - Collaborate with Product and Data Engineering teams to seamlessly integrate LLM features into the broader ecosystem - Track and report progress using industry-standard benchmarks (MMLU, HumanEval, etc.) and custom internal KPIs - Stay at the forefront of the field (e.g., State Space Models, new Transformer variants) and evaluate cutting-edge techniques for production readiness - Engage in continuous technical growth and mentor junior colleagues to elevate the team's expertise Qualifications - 3+ years of commercial experience in Machine Learning, with a specific focus on the NLP or LLM domain - Strong knowledge of Python3, NumPy, pandas, and modern text-processing libraries, PyTorch and Hugging Face (Transformers, PEFT, Accelerate) - Proficiency in PEFT/LoRA and Reinforcement Learning techniques - Deep understanding of attention mechanisms, tokenization, context window management, and embedding spaces - Practical experience in at least one of the following: Retrieval-Augmented Generation (RAG), Fine-tuning, or Agentic frameworks - Proven ability to manage and analyze massive datasets (>100GB) across text, image, and audio formats - Hands-on experience crafting high-fidelity datasets and building robust data pipelines - Expertise in prompt engineering, agentic framework design, and LLM pipeline orchestration - Experience deploying LLMs to production environments using Triton Inference Server, vLLM, TGI, or ONNX - Good written and spoken English Nice to have - Practical experience with Pinecone, Weaviate, Milvus, or Chroma - Advanced quantization (GGUF, AWQ, EXL2), pruning, and knowledge distillation - Experience with LangChain, LlamaIndex, or AutoGen - Basic understanding of web/client-server architecture and streaming API responses (Asyncio, aiohttp) - Familiarity with RAGAS, DeepEval, or G-Eval - Experience using Docker, Kubernetes, and cloud GPU orchestration (e.g., Run:ai, Lambda Labs) - Knowledge of C++, Triton, or CUDA for custom kernel development Benefits - The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member - Competitive compensation and perks - Gig-contract - 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation - Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves - Medical insurance is provided from day one. Sick leaves and medical leaves are available - Remote working mode is available within Ukraine only - Free meals, fruits, and snacks when working in the office

Role Description The Scientist III in CMC is a senior-level contributor responsible for leading regulatory strategy and execution for pre-approval, post-approval changes and lifecycle management activities across client Rx and non-Rx programs. Operating in a client-facing, consultant capacity, this role provides strategic guidance on complex regulatory submissions, authors and reviews high-impact documentation, and drives alignment across cross-functional teams to ensure successful regulatory outcomes. The individual is expected to work independently, manage competing priorities, and deliver high-quality, submission-ready content aligned with global regulatory requirements, while also supporting the development of junior staff. - Develop regulatory strategy and execution plan for pre-approval, post-approval changes and lifecycle management activities. - Serve as an author strategist, defining document structure, content strategy, and submission approach for complex regulatory dossiers. - Author, review, and approve high-quality regulatory documents (e.g., supplements, variations, responses to health authority queries) ensuring scientific and regulatory rigor. - Provide strategic input on CMC and lifecycle change assessments, including regulatory risk evaluation and submission pathways. - Collaborate with cross-functional stakeholders (CMC, Quality, Clinical, Supply Chain) to drive alignment on regulatory strategy and ensure accurate and complete submission content. - Act as a primary regulatory point of contact for assigned client projects, providing guidance and maintaining strong client relationships in a consultant role. - Lead timeline planning, tracking, and execution of regulatory deliverables to meet critical milestones. - Perform advanced document quality control, formatting, and publishing in compliance with global regulatory standards using tools such as MS Office and Adobe Acrobat. - Mentor and provide day-to-day guidance to junior regulatory staff, supporting their technical development in regulatory strategy, authoring, and submission processes. - Review, edit, and provide feedback on work produced by junior team members, ensuring accuracy, consistency, and compliance with regulatory and client standards. - Promote best practices in document preparation, quality, and regulatory compliance across the team. - Support regulatory inspections, audits, and responses related to lifecycle management activities, as needed. - Ensure an established level of billable hours per fiscal year. Qualifications - Understanding and application of scientific principles and techniques used in pharmaceutical product development. - Knowledge and experience with cGMP regulations and ICH guidance. - Proficiency with Health Authority regulations (FDA, EMA, Health Canada, etc.). - Experience with writing global regulatory applications in eCTD format. - Proven experience in support of pharmaceutical product development, quality assurance and/or CMC regulatory affairs, highly preferred. - MS/BS in Chemistry, Analytical Chemistry or related life sciences is preferred. - Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). - Proficiency with Adobe Acrobat for document editing, formatting, and publishing. - Team-oriented mindset with the ability to collaborate across functions. - Proactive, self-motivated, and able to work independently in a client-facing role. - Strong attention to detail and organizational skills. - Effective written and verbal communication skills. - Ability to manage multiple tasks and meet deadlines in a dynamic environment. Requirements - Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects. - May contribute to the development of policies and procedures. - Works on complex projects of large scope. - Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives. - Completes work independently with attention to detail. - Receives general guidance on new projects. - Work reviewed for purpose of meeting objectives. - Mentor to less experienced staff. - Support client projects as a consultant. - Ability to work remotely from home office. - Requires adaptability and responsiveness to changing project priorities. Benefits - Medical, dental and vision coverage. - Paid time off plan. - Health savings account (HSA). - 401k savings plan. - Access to wages before pay day with myFlexPay. - Flexible spending accounts (FSAs). - Short- and long-term disability coverage. - Work-Life resources. - Paid parental leave. - Healthy lifestyle programs.