The Senior Machine Learning Engineer designs, develops, and optimizes ML models and AI solutions, collaborating with teams to solve complex business challenges and drive measurable outcomes.
About airSlate
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, airSlate WorkFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines.
At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.
And now we’re looking for a Senior Machine Learning Engineer to join our Machine Learning team and help apply ML and AI solutions to real business problems at scale. In this role, you’ll work on high-impact initiatives that directly support airSlate’s AI strategy — from customer value prediction and optimization to large-scale SEO and marketing intelligence.
You’ll collaborate closely with data scientists, data engineers, and business stakeholders to design, build, deploy, and improve machine learning models that drive measurable business outcomes.
What You’ll Do:
- Design, develop, train, and optimize ML models and AI solutions to solve complex business challenges.
- Collaborate with Data Engineers on data collection, preprocessing, and feature engineering for model training and evaluation.
- Evaluate, validate, and fine-tune models to ensure accuracy, scalability, and business impact.
- Deploy, monitor, and maintain ML models in production, identifying opportunities for continuous improvement.
- Work cross-functionally with engineers, data scientists, and business teams to deliver end-to-end ML solutions aligned with business needs.
What We’re Looking For:
- Proven experience in an AI/ML environment, with a track record of delivering impactful solutions.
- Experience with AWS and SageMaker for end-to-end ML development and deployment.
- Solid foundational understanding of modern AI/LLM models (e.g. BERT, GPT, Qwen, LLaMA or similar architectures).
- Hands-on expertise with traditional ML techniques (Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning, especially Deep Learning).
- Proficiency in Python for model development and implementation.
- Familiarity with LLM-based applications, including embeddings and advanced AI use cases.
- Strong communication skills, able to clearly explain technical concepts to both technical and non-technical stakeholders.
- Experience working effectively with distributed teams across time zones.
- Collaborative mindset with a focus on knowledge sharing and continuous growth.
- Fluent English.
What we offer
Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.
Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.
It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
Read our Recruitment Privacy Notice to Learn how we process your personal information.
Top Skills
AWS
Bert
Gpt
Llama
Python
Qwen
Sagemaker
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