6 дней назад
AI Research Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Scientist (LLM Optimization): Developing fundamental research for efficient on-device large language models and localized machine learning solutions for the macOS ecosystem with an accent on architectural exploration, model optimization, and research-to-production transitions. Focus on designing experiments, implementing algorithms from academic papers, collaborating on scientific publications, and improving techniques such as quantization, KV-cache compression, speculative decoding, and distillation.
Location: Boston office with a hybrid schedule requiring three days per week on-site. For candidates from Ukraine, a remote-first format is available with the Kyiv HQ operating in a co-working mode.
Company
develops consumer software and cybersecurity products, including CleanMyMac, Setapp, ClearVPN, and Moonlock.
What you will do
- Prepare fundamental research proposals focused on LLM efficiency and optimization.
- Survey academic publications, formulate hypotheses, and run deep-dive experiments on new LLM optimization methods.
- Collaborate with internal research scientists and external academic labs on joint projects and publications.
- Transition validated research prototypes into downstream production environments with the applied research stream.
- Drive a research niche from ideation through implementation with significant independence and autonomy.
- Contribute to internal knowledge sharing, paper clubs, and publications at international AI conferences.
Requirements
- Deep experience in natural language processing or a related machine learning domain.
- Strong theoretical and practical understanding of LLM optimization techniques, including quantization, KV-cache compression, speculative decoding, and distillation.
- Hands-on experience with parameter-efficient fine-tuning, including LoRA and other adapters, as well as mixture-of-experts architectures.
- Ability to implement complex algorithms and architectures directly from academic papers.
- Advanced Python programming skills and experience with PyTorch, JAX, or TensorFlow.
- Strong foundations in linear algebra, probability theory, and mathematical statistics.
Nice to have
- Research publications at international AI, machine learning, software engineering, or HCI conferences.
- Performance engineering experience, including profiling and low-level GPU, Metal, or C++ optimization.
- Experience training, running, or deploying localized LLMs on device frameworks such as MLX.
Culture & Benefits
- Hybrid work with flexible working hours and a remote-first option for candidates from Ukraine.
- Medical, vision, and dental insurance for employees and their families.
- Education opportunities, annual development reviews, and internal communities.
- Generous paid time off and a culture based on trust, autonomy, transparency, and constructive feedback.
- Equal opportunity workplace supporting applicants from diverse backgrounds.
Hiring process
- Hiring steps may vary depending on the position.
- The usual process includes several position-specific stages.
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