Senior ML Engineer (AI R&D within a new product)

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Kyiv, Kiev
Remote
Hybrid
5-7 Years Experience
Information Technology • Security • Software • Cybersecurity • App development • Data Privacy
MacPaw is a macOS and iOS software developer and distributor that creates a world where technology empowers human life.
The Role
Senior Machine Learning Engineer role at MacPaw, focused on pushing the frontiers of artificial intelligence and driving new product strategic goals. Responsibilities include tackling cutting-edge AI challenges, designing and implementing AI solutions, collaborating with AI Discovery Manager and engineers, running experiments, and refining models for performance and accuracy.
Summary Generated by Built In

MacPaw is a software company, that develops and distributes software for macOS and iOS. Today, our products have more than 30 million users worldwide.
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.
We are looking for a Senior Machine Learning Engineer to join our AI R&D (within a new product) team that pushes the frontiers of artificial intelligence. The team is at the cutting edge of developing AI solutions that drive our new product's strategic goals and industry leadership.
Key qualities we seek:
- Fearless Innovator: Passionate about tackling extremely challenging and unproven tasks in machine learning. You'll thrive on exploring projects others might consider impossible and embrace the opportunity to break new ground in AI research and development.
- Versatile Expertise: Proficient across multiple machine learning domains, particularly interested in generative AI, LLMs, and other cutting-edge areas. You're equally comfortable working with traditional models and pushing the limits of the latest innovations.
- Bold Problem Solver: Equipped with a broad knowledge base in classical and modern machine learning, enabling you to approach various tasks, especially those that require thinking outside the box and defying conventional boundaries.
- Proactive and Driven: A self-starter who naturally takes ownership of complex projects, driving them forward with resourcefulness and creativity. You're comfortable with ambiguity and excel in generating ideas, driving initiatives, and delivering solutions in high-risk, high-reward environments.
- Diverse Experience: You've been involved in various machine learning projects across different domains, showcasing your adaptability and eagerness to apply your skills in novel and uncertain areas of AI.
Joining the team, you will engage in a broad spectrum of AI research, explore various directions within the field, and implement advanced solutions. Your work will involve tackling diverse challenges, from developing novel algorithms to applying machine learning techniques across different domains.
If you are passionate about AI research and eager to work on innovative projects, then look no further - this is the right job for you.
In this role, you will:

  • Dive into cutting-edge AI challenges across multiple domains, including but not limited to generative AI, LLMs, and beyond. You'll explore and experiment with highly complex, unproven methodologies, embracing the unknown to push the boundaries of what's possible
  • Design, implement, and optimize AI solutions for diverse and often unconventional problems. Your work will involve translating innovative research findings into functional prototypes and scalable solutions, with a focus on solving what others might deem impossible
  • Collaborate with our AI Discovery Manager, other engineers, and data scientists to integrate AI solutions into existing systems and workflows. Engage in the team's discussions and strategy development, generate ideas, drive projects, and contribute actively to both ongoing and new initiatives
  • Run ambitious experiments, analyze results, and refine models to ensure performance and accuracy. You'll use data-driven insights to inform research directions while continuously improving algorithmic approaches, fearlessly tackling failure to achieve breakthroughs
  • Stay abreast of the latest advancements in AI and machine learning. Share knowledge and present findings to the rest of the team


Skills you'll need to bring:

  • Programming Languages: Python
  • LLM skills: Proficiency in working with large language models
  • LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
  • LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
  • Machine Learning Frameworks: PyTorch, TensorFlow, transformers (Hugging Face)
  • Cloud Services: AWS, Google Cloud, Azure
  • Automated AI & Analytics (AWS SageMaker / Google AI Platform / Azure Machine Learning or Weights and Biases (W&B))
  • At least an Intermediate level of English


As a plus:

  • DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
  • Be an active contributor to open-source projects, with a focus on identifying and fixing bugs, as well as addressing vulnerabilities in AI tools
  • Experience in developing personal projects or startups within the AI domain
    Swift Coding
  • Experience in consultancy or pre-sale activities on a large scale, with a proven track record of advising clients, identifying opportunities, and delivering solutions in diverse environments
  • Experience in LLM-optimization
  • Familiarity with multi-modal models combining text, image, and/or audio
  • Experience with LLM-powered chatbots and conversational AI systems
  • 3D Deep Learning
  • Have done scientific publications


Meet a fellow MacPawian
Q: How to explain your job to a child?
A: An analytics job is like being a detective! Analysts use data - which are facts and numbers about things - to understand stuff and answer questions. For example, if a company wanted to know what ice cream flavors kids like best, an analyst would look at data about ice cream sales to figure it out. They would look for patterns and clues in the data that could help solve the mystery of which flavors are most popular
Dmytro Osiiuk
Analytic Solutions Service Manager
What We Offer

  • We are a Ukrainian company, and we stand with Ukraine against russian aggression
    • We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here you also can read about 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. We also rent space in the Promprylad Coworking in Ivano-Frankivsk and reimburse the costs of renting a coworking space in any other city. If you decide to work at home, we cover the costs spent on your workspace organization: portable power stations, power banks, etc.
  • Your health always comes first
    • We guarantee life insurance starting on your first working day. Besides, we cover 100% of your medical insurance costs and 50% for your dependents. We also cover dental and massages and offer a 50% refund for psychotherapy.
  • Flexible working hours
    • You can choose a schedule that is comfortable for you. No one here tracks your clock in/clock out because MacPaw is built on trust and cooperation.
  • Space to grow both professionally and personally
    • Whatever your dreams and aspirations are, we got you. Education budget, annual development reviews, free English classes, and regular lectures. We also offer personal coaching with organizational coaches.
  • 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, fitness, and yoga. Cozy kitchens with coffee, snacks, and lunches. Sleeping/meditation rooms. A terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
  • Time-off policy that covers life's needs
    • 20 vacation days, unlimited paid sick leaves, xDays (2 days a month to work on side projects), days for personal time-off designed 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 and spend up to 24 working days per year making 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.

Top Skills

Python
The Company
Cambridge, MA
550 Employees
Hybrid Workplace
Year Founded: 2008

What We Do

MacPaw develops and distributes software for macOS and iOS that simplifies the lives of Mac users. Renowned for innovative and precision-engineered products, including CleanMyMac X, Setapp, ClearVPN, and the Unarchiver, and housing the Moonlock cybersecurity division, MacPaw is committed to elevating and securing the user experience within the Mac ecosystem.

MacPaw’s focus on software technology, Human-Computer Interaction (HCI), Machine Learning (ML), and more, aims to seamlessly integrate research breakthroughs into practical MacPaw products. Founded in Kyiv, Ukraine, with a subsidiary office in Boston, MacPaw products have more than 30 million users worldwide, with one in every five Mac users having at least one app downloaded.

Our values — to create experience, make impact, and stay human — influence MacPaw's creative, authentic, and caring team. They affect everything we do, from our products to the teams we build.
We think big by focusing on essential. With us, you can take a lead and deliver the result that will make you proud. We value when people finish what they started and can measure the result.

You have a chance to create an experience, not just a product.
Macpawians always listen to our customers and respond to make their experience flawless and exciting. Through attention to detail, we make an extra effort to streamline it for our users, partners, and team members.

Stay human... in any situation, even when it's tough. We care about each other and always see a person in our users. We build long-term relationships by creating technology for the benefit of humans.
Play nice. Be frank and real!

Why Work With Us

As a company, we believe that technology and humans can only reach their greatest potential together. Macpawians are united by curiosity in any field they work. Our team leaders emphasize innovation, sincerity, and responsibility. MacPaw gathers open-minded people who help each other and aspire to better the community and world around us.

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MacPaw Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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Cambridge, MA
Company Office Image
Kiev, UA
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