Machine Learning Engineer

At airSlate, our journey began in Boston, USA, in 2008. What started as a single product with 3,000 customers has grown into an influential tech company with 1000 team members across six offices worldwide. In 2022, airSlate reached a total valuation of $1.25 billion and became a 'Unicorn '. But even as we scale, team members remain our most valuable asset. That's why we've built a company that excites people about their work. We develop products that serve over 100 million users with no-code workflow automation, electronic signature, and document management solutions. The company's portfolio of award-winning products, signNow, pdfFiller, DocHub, WorkFlow, Instapage, and US Legal Forms , empower teams to digitally transform the way their organizations run. airSlate is seeking a Machine Learning Engineer to contribute to the next chapter of our company's growth. airSlate set up the AI Center of Excellence (COE), focusing on strategic initiatives within our core marketing engine and SaaS product lines. This team is committed to driving innovation in digital B2C marketing and customer-facing workplace automation solutions. Our goal is to pioneer industry-leading applications of AI by leveraging our vast data warehouse. We will collaborate with AWS SageMaker for traditional AI model deployments and use OpenAI, Bard, and other SaaS LLM solutions to develop unique solutions that will play a critical role in shaping the future of AI in airSlate. Wrocław, Curie-Skłodowskiej 12 We invite you to join us and be at the forefront of AI innovation What you'll be working on: Design, develop, and implement machine learning models and algorithms, Collaborate with cross-functional teams including data scientists, software engineers, and domain experts, Co-creation of business strategy using artificial intelligenceImplementation of the developed solutions, Implementation of the developed solutions. What we expect from you: Previous experience (typically 2 years) in machine learning, data science, or related roles, with a proven track record of developing and deploying machine learning models in real-world environments, Familiarity with Traditional ML Techniques (Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning), Familiarity with cutting edge LLM technology es (OpenAI, Bard) and techniques to build solutions on LLMs like Prompt Engineering, Fine Tuning (Plus), and Prompt Tuning, Familiarity with Python, Strong communication skills, Experience working with distributed remote teams across time zones, A cooperative attitude, team-player mindset, sharing of knowledge, Fluent English. Nice to have: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree (e.g., Master's or Ph.D.) preferred. What we offer: — Flexible work environment — We value the advantages of in-person collaboration and prioritize work from our offices in Wroclaw or Bialystok. However, we also provide flexible work arrangements to accommodate remote or hybrid options and flexible scheduling. — Professional growth opportunities — We are committed to ongoing improvement and welcome those passionate about learning. We cover professional development courses, conferences, literature, English classes, and more for each team member. — Health and well-being — We prioritize the health and well-being of our team. This is why we provide a Luxmed subscription, a multisport card for every team member, access to the office's massage room, free lunches, and healthy in-office snacks to sustain your energy. — Bonuses and compensation — On top of a competitive base salary, our team members are eligible for monthly performance bonuses of up to 10%, determined by their achievements, time commitment, and dedication. — Stock options — At airSlate, our team members are more than employees; they're business partners. We issue stock options that grant ownership in the company, allowing everyone to share in its growth. — Open communication — We encourage transparent communication from all team members at airSlate. Feel free to share your thoughts, ideas, and concerns with our management team, CEO, any member of our leadership team, or any team lead at any time.