- Job Type: Full-Time
- Function: Data Science
- Industry: Enterprise
- Post Date: 05/27/2026
- Website: automationanywhere.com
- Company Address: 633 River Oaks Parkway, San Jose, CA 95134, US
About Automation Anywhere
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.Job Description
About Us
Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
Our opportunity:
Automation Anywhere is the leader in Agentic Process Automation (APA), redefining how enterprises automate and scale work through AI-powered automation. Our AI-native APA platform combines advanced AI agents, machine learning, orchestration, and enterprise-grade automation to help organizations unlock productivity, accelerate innovation, and build the Autonomous Enterprise. As we continue to push the boundaries of AI and intelligent automation, we are looking for exceptional AI/ML talent to help shape the future of enterprise AI.
Join our Product-building AI/ML team where you’ll have the opportunity to lead cutting-edge AI and machine learning research initiatives while continuing to grow as a hands-on software engineer. This role offers the unique chance to drive ML innovation from concept to production — influencing research direction, developing scalable ML systems, and bringing advanced AI capabilities into real-world enterprise products. If you’re passionate about solving complex problems, translating research into impactful applications, and accelerating your technical growth in a fast-moving AI environment, we’d love to meet you.
Who you’ll report to:
This role reports to our Sr. Director, Engineering
Location:
Remote role – Athens, Greece. Other locations in Greece considered
You will make an impact by being responsible for:
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Leading ML research, experimentation, and development from concept to deployment
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Designing and implementing novel ML/AI approaches, staying current with cutting-edge research and methodologies
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Architecting ML pipelines, training infrastructure, and model evaluation frameworks
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Collaborating with cross-functional teams: Working closely with product managers, and other stakeholders to ensure the AI/ML solutions align with the organization's goals and objectives
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Communicating effectively: Clearly document your work and effectively communicate your findings, insights, and recommendations to both technical and non-technical stakeholders, fostering a collaborative and informed environment.
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Guiding ML engineering decisions including model selection, feature engineering, and optimization strategies
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Translating academic insights into practical applications
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Mentoring junior ML engineers and establish ML best practices across the team
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Working closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production
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Enforcing data governance and privacy: Follow processes and implement methods that ensure data governance, privacy, and security
You will be a great fit if you have:
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Relevant undergraduate degree in computer science, engineering, mathematics, or a similar discipline required. Advanced degree in AI/ML or a related field preferred
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7+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses) including at least 1 year of leadership experience driving technical ML initiatives for a small team
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Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies
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Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
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Experience with ML experiment tracking, model versioning, and reproducible research practices
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Ability to translate research papers into working implementations
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Solid foundation in software development practices (testing, version control, code review)
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Background in NLP preferred
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Experience with distributed training, MLOps, and cloud ML platforms preferred
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Track record of research publications or open-source ML contributions preferred
You excel in these key competencies:
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Collaborative Communication – Ability to work effectively with product managers, data scientists, and cross-functional engineering teams to deliver high-value solutions
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Analytical Problem Solving – Strong critical thinking and troubleshooting skills to diagnose complex production issues and develop effective, scalable solutions
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Ownership & Accountability – Demonstrates end-to-end responsibility for system reliability, performance, and operational excellence, including proactive monitoring and issue resolution
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Technical Leadership & Mentorship – Ability to guide, mentor, and elevate other engineers while fostering best practices in system design, code quality, and AI-assisted development
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Continuous Improvement Mindset – Proactively identifies technical debt, improvement opportunities, and innovative solutions to enhance system scalability, performance, and engineering practices
Ready to Revolutionize Work? Join Us.
This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.
Job Segment OR Key Words: SaaS, AI Engineer, AI, ML, GenAI, Machine Learning, Agentic Process Automation, AI Agents, Python
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.