Senior/Staff 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 900+ team members across six offices worldwide. In 2022, airSlate reached a total valuation of $1.25 billion and became a 'Unicorn \uD83E\uDD84'. 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.

We’re on the hunt for a Senior/Staff Machine Learning Engineer to join our adventure — someone ready to wrangle data, tame models, and help write the next (and smartest) chapter in airSlate’s story.

At airSlate, we’re focusing on high-impact AI initiatives across our core marketing engine and SaaS product lines — driving innovation in digital B2C marketing and customer-facing workplace automation. Our long-term strategy is to transform the Marketing Engine into a powerhouse of automation, using AI to reimagine not just isolated marketing tasks but the entire approach — shifting from incremental improvements to building an intelligent system that drives the future of SaaS marketing. You’ll be part of this transformation from the ground up, working closely with senior leadership — including the CEO — to shape company-wide strategy. This is a highly visible, strategic role where bold thinking is not just encouraged, but expected. You’ll have the space to explore ambitious ideas, experiment with cutting-edge technologies, and design solutions that challenge conventional thinking. We use AWS SageMaker to build and deploy traditional AI models, while also developing novel applications powered by large language models — tools that will help us automate smarter, communicate better, and unlock entirely new product capabilities.

We invite you to join us and be at the forefront of AI innovation!
What you'll be working on:
Design, Develop, and Train ML Models:
Build and fine-tune cutting-edge machine learning models to address complex business challenges.
Data Collection, Preparation, and Feature Engineering:
Gather, preprocess, and engineer high-quality data for model training, ensuring relevance and accuracy.
Model Evaluation, Validation, and Optimization:
Test, validate, and optimize models to ensure they meet performance standards and scale effectively.
Deploy and Maintain ML Models in Production:
Implement and monitor ML models in production environments, ensuring sustained impact and continuous improvement.
Explore Agentic AI and RAG Applications:
Contribute to early-stage research and experimentation with agentic AI systems and Retrieval-Augmented Generation (RAG) techniques — helping shape intelligent, autonomous workflows that can reason, adapt, and act within our products, while leveraging external knowledge sources to enhance decision-making and generation capabilities.
Collaborate with Cross-Functional Teams:
Work closely with data scientists, engineers, and stakeholders to drive end-to-end model development and deployment.
Develop and Maintain Data Pipelines:
Design and maintain efficient data pipelines to support seamless, ongoing model training and updates.
What we expect from you:
Proven experience in an AI/ML environment, with a track record of delivering impactful solutions.
Hands-on expertise with traditional ML techniques (Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning, especially in Deep Learning).
Proficiency in Python for model development and implementation.
Familiarity with cutting-edge LLM technologies, including effectively utilizing components like embeddings for advanced applications and solutions.
Strong communication skills, able to clearly articulate technical concepts to both technical and non-technical stakeholders.
Experience working effectively with distributed teams across time zones, ensuring seamless collaboration.
A cooperative, team-player attitude with a focus on knowledge sharing and growth.
Fluent in English, both written and spoken.
Nice to have:
Hands-on experience with AI applications in digital marketing, particularly in automation and optimization.
A Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, Statistics, or a related field; advanced degrees (e.g., Master’s or Ph.D.) are a plus.
Experience contributing to research projects, academic or industry-led, especially those involving novel AI/ML approaches or experimental techniques.
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.

— Bonuses and compensation — On top of a competitive base salary, we reward our team members' performance with a quarterly bonus to recognize achievements, time, and effort.

— 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.

— 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. Also, we provide all our team members with Mental Health Days, dedicated days off recognized globally to encourage people to log off and recharge.

— 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.

We are proud of:

— airSlate Care for Ukraine — With a significant number of our team members in Ukraine, our foremost concern was ensuring their safety by providing both financial and logistical assistance to them and their families. What started as an immediate response has evolved into a cornerstone of the airSlate charity program. We match donations contributed by our team members, offer humanitarian aid to those affected by the conflict, distribute food packages to seniors, and support animal shelters. Our commitment remains steadfast in working towards restoring peace to Ukraine.

— airSlate Junior Club — Our sense of family extends beyond our team. All team members with children gain access to the airSlate Junior Club, featuring engaging events such as cooking classes, creative activities, and educational online games.

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 penalised 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.

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