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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, the leader in Agentic Process Automation (APA), is looking for a Staff Machine Learning Engineer to help shape the future of intelligent automation. In this role, you’ll design, build, and deploy cutting-edge ML models focused on Generative AI, NLP, and Computer Vision, powering digital agents that learn, adapt, and deliver real-world impact. You’ll drive scalable ML infrastructure, implement robust MLOps practices, and collaborate closely with cross-functional teams to seamlessly integrate AI into our core products. If you're passionate about building innovative AI systems that operate at scale and excited to be part of a team pushing the boundaries of what’s possible in automation—we’d love to hear from you.

Who you’ll report to:

This role reports to our Director, ML Engineering

Location:

Hybrid role with regular onsite workdays in our San Jose, CA office strongly preferred. Other locations in the U.S may be considered

You will make an impact by being responsible for:

+ Developing and optimizing machine learning models using NLP, Computer Vision, and Generative AI to address complex business challenges

+ Architecting and scaling end-to-end ML pipelines for model training, validation, deployment, and monitoring in production environments

+ Driving the development of high-performance ML infrastructure to support low-latency inference and efficient resource use across cloud and hybrid systems

+ Implementing MLOps best practices to automate model workflows, including training, testing, deployment, monitoring, and versioning

+ Collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of ML models into production systems

+ Optimizing models for performance, accuracy, and scalability using techniques such as quantization, pruning, and distributed training

+ Improving system reliability by building CI/CD pipelines, automating monitoring, and managing model versions throughout the ML lifecycle

+ Leading data initiatives for acquiring, annotating, and preprocessing datasets to enhance model quality and accuracy

+ Staying current with the latest ML research and trends, and identifying opportunities to incorporate new technologies into production workflows

You will be a great fit if you have:

+ Bachelor’s or Master’s degree in Computer Science, Data Science, or related field; advanced degrees are a plus.

+ 7+ years of hands-on experience developing and deploying ML models, particularly in NLP, Computer Vision, or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

+ Proficient in Python, R, SQL, and working with big data technologies (e.g., Spark, Hadoop)

+ Skilled in modern ML frameworks like TensorFlow and PyTorch

+ Experience building ML pipelines and implementing MLOps practices to automate and scale workflows

+ Familiar with cloud-based ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform)

+ Hands-on with containerization (Docker), orchestration (Kubernetes), and model serving platforms (e.g., Triton Inference Server, ONNX)

+ Experience fine-tuning large language models and applying Generative AI techniques

+ Familiarity with model optimization methods (e.g., quantization, pruning) for deployment on cloud or edge devices

+ Exposure to distributed training across GPUs or cloud environments, CI/CD pipelines for ML, automated model versioning, and performance monitoring tools — all considered a plus

+ Strong understanding of the complete ML lifecycle including data collection, feature engineering, model training, evaluation, and deployment

You excel in these key competencies:

+ **Strategic problem-solving** — You approach complex ML challenges with creativity and clarity, especially in areas like document extraction, classification, and language understanding, designing solutions that are both effective and scalable

+ **Clear and collaborative communication** — You explain technical concepts with ease to cross-functional teams and stakeholders, and you thrive in both autonomous and collaborative work environments

+ **Product-focused mindset** — You build models not just for accuracy, but for real-world performance, reliability, and user impact—always thinking about how your work drives value in production

+ **Adaptability and continuous learning** — You stay current with the latest ML advancements, proactively seeking opportunities to apply new techniques and tools that improve speed, accuracy, and efficiency

+ **Bias for action and ownership** — You take initiative, move ideas forward quickly, and are comfortable leading through ambiguity to deliver high-quality, production-ready ML solutions

The base salary range for this position is $190,000 – $205,000 a year. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.

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, Python, R, SQL, ML, Generative AI, NLP, APA

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Benefits and perks you’ll appreciate:

+ Flexible work schedule / remote roles

+ Unlimited Personal Time Off

+ 12 holidays off per year

+ 4 days volunteer time off per year

+ 4 company “Achievement” days off per year

+ Variety of health care and well-being benefits

+ Paid family/parental leave

+ We are a designated “Best Place to Work” for 2 years in a row! Learn more here (https://www.automationanywhere.com/company/press-room/fortune-media-and-great-place-work-name-automation-anywhere-2023-fortune-best)

+ Newsweek’s Top 100 Most Loved Workplaces in America 2023 – Learn more here (https://www.automationanywhere.com/company/press-room/automation-anywhere-ranks-14th-newsweeks-list-top-100-most-loved-workplaces-2023)

Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].

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.

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.

Equal Opportunity Employer Automation Anywhere is an equal opportunity employer – M/F/D/V. We want to have the best available persons in every job. We will not discriminate in our employment practices due to an applicant’s race, color, creed, gender, religion, marital status, age, national origin and ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other category protected by law.