MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.
At MacPaw, we believe humans and technology can reach their greatest potential together.
MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.
For This Role
Imagine enhancing an AI assistant that already lives on Macs — one that truly understands its users, adapts to their habits, and helps them stay focused on what matters most. Eney is MacPaw’s AI companion for macOS, designed to organize, automate, and simplify users’ daily workflows.
Now, we’re taking Eney to the next level — making it smarter, faster, and capable of running advanced LLMs directly on-device. As a Senior Data Scientist, you’ll fine-tune and optimize the latest LLMs using cutting-edge techniques (LoRA, Q-LoRA, DPO, GRPO), build scalable ML pipelines, and shape how AI seamlessly integrates into everyday Mac experiences.
In this role, you will:
- Train and fine-tune LLMs (e.g., LLaMA, Gemma, Qwen) for specialized tasks (such as function calling, charting, parameter parsing) and ensure their effective deployment across diverse environments, including on-device (MLX)
- Develop and apply model optimization and compression techniques (e.g., dynamic pruning, quantization) to enable high-performance on-device inference
- Conduct rigorous evaluation and benchmarking of LLMs to measure performance, accuracy, and efficiency across different setups
- Adapt LLMs for domain-specific tasks using techniques such as prompt engineering, adapter-based fine-tuning (PEFT), and multi-modal extensions.
Skills you’ll need to bring:
- Deep experience with LLMs: training large and small models using various techniques (fine-tuning, post-fine-tuning, DPO, GRPO)
- Practical experience with LoRA / Q-LoRA and other adapter-based fine-tuning methods
Strong background in classical ML and NLP - Solid knowledge of deep learning, going beyond just LLMs (e.g., CNNs, RNNs, Transformers, Autoencoders)
- Proficiency in Python and deep learning frameworks (e.g., PyTorch)
- Hands-on experience in model optimization (pruning, quantization), evaluation, and deployment
- Ability to design and automate ML pipelines with a focus on scalability and maintainability
- Upper-intermediate English & fluent Ukrainian
As a plus:
- Experience working with multi-modal data: structured/tabular, images, audio, or video
- Experience in synthetic data generation
- Hands-on experience with LLM production deployment: monitoring, evaluation, and metrics tracking
- Familiarity with on-device ML and performance optimization
- Swift knowledge or interest, as the company’s products operate in the Apple ecosystem
- Background in computer vision, time series, or reinforcement learning
What We Offer
We are a Ukrainian company, and we stand with Ukraine against the russian aggression
- We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
We are committed to our veterans
- Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
Hybrid work model
- Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
Your health always comes first
- We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
Flexible working hours
- You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
Space to grow both professionally and personally
- Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
Teams we are proud of
- We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
Office designed for people (and pets)
- Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office.
Time-off policy that covers life’s needs
- Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
Join social initiatives with MacPawCares
- MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
- We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
- Some benefits are under development, and new adjustments are possible.
