Applied Scientist – LLM

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SQUAD

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🔧 Hardware

🤖 Artificial Intelligence

🤝 B2B

Hardware • Artificial Intelligence • B2B

SQUAD is a camera engineering and R&D services company that develops end-to-end AI-powered camera products. From concept to manufacturing readiness, they cover sensor and optics selection, PCB and firmware design, embedded systems, edge AI and computer vision, cloud streaming, mobile apps, and ML infrastructure. SQUAD operates a 6,500 m² Innovation Lab with hardware and video/image-quality testing, and offers product strategy, lifecycle support, data collection and annotation, MLOps for smart cameras, and scalable ML infrastructure. Their focus is on building production-ready smart camera systems for industries such as security & smart home, automotive, industrial/agritech, and public safety.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ 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.