Staff AI/ML Engineer

🕒 May 20

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Automation Anywhere

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Automation Anywhere is a leader in agentic process automation, providing solutions that streamline complex workflows across various industries. They offer a platform that integrates artificial intelligence and automation, allowing businesses to automate any process and improve efficiency. With features like AI agent creation, document automation, and centralized management, Automation Anywhere empowers businesses to reduce costs, improve productivity, and achieve higher accuracy in their operations.

📋 Description

• Leading ML research, experimentation, and development from concept to deployment • Designing and implementing novel ML/AI approaches, staying current with cutting-edge research and methodologies • Architecting ML pipelines, training infrastructure, and model evaluation frameworks • 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 • 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 • Guiding ML engineering decisions including model selection, feature engineering, and optimization strategies • Translating academic insights into practical applications • Mentoring junior ML engineers and establish ML best practices across the team • Working closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production • Enforcing data governance and privacy: Follow processes and implement methods that ensure data governance, privacy, and security

🎯 Requirements

• Relevant undergraduate degree in computer science, engineering, mathematics, or a similar discipline required • Advanced degree in AI/ML or a related field preferred • 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 • Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies • Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face) • Experience with ML experiment tracking, model versioning, and reproducible research practices • Ability to translate research papers into working implementations • Solid foundation in software development practices (testing, version control, code review) • Background in NLP preferred • Experience with distributed training, MLOps, and cloud ML platforms preferred • Track record of research publications or open-source ML contributions preferred

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities