What are the responsibilities and job description for the Machine Learning Engineer Intern position at LE001 Automation Anywhere, Inc?
About Us
Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com
We specialize in building Enterprise Automation services that use AI technologies such as NLP, Computer Vision and Generative AI to increase productivity and drive growth. If you’re interested to work in cutting edge areas of ML and develop solutions to improve operations for some of the largest companies in the world, join us.
The Role
As a Machine Learning intern, you’ll focus on and do research cutting-edge techniques in the NLP, Computer Vision and Generative AI space, implement them in a fast-paced environment, and ensure that they are integrated in a reliable and scalable way to bring real value to our users. By using predictive models, experimental design methods, and optimization techniques, you will drive your own project end to end that aims to solve problems that users are facing today.
What You'll Accomplish
Research ideas, methods, models, and algorithms that will drive innovation.
Take full ownership of solving a problem our customers have, including collecting training data, researching a modeling approach, and iterating on solutions.
Apply predictive modeling, experimental design, prompt engineering, and optimization techniques to address real-world challenges faced by customers.
Qualifications:
Pursuing a BS/MS in Computer Science, Statistics, Applied Math, AI, or a related STEM field
Solid Algorithms, Data Structures and Distributed system design skills
Experience in one or more of the following areas: deep learning, machine learning, computer vision, image processing, and natural language processing.
Experience with one or more general purpose programming languages: Python, Java, or Go.
Excellent problem-solving and debugging skills
Experience with data extraction, transformation, analysis and visualization
Team player with strong written and verbal communication skills, ability to communicate effectively to both technical and non-technical audiences.
Bonus Points!
Experience with cloud environments like AWS, Google Cloud Platform, and Microsoft Azure
Deep Learning experience with modern frameworks such as Tensorflow or Pytorch
Experience working on projects related to GenAI including building RAG pipelines, fine-tuning LLMs for domain-specific tasks, evaluating hallucination and response quality, prompt engineering for document understanding etc.
Working knowledge of RDBMS, SQL and NoSQL technologies.
The hourly rate for this position is $35-40/hr. The hourly rate offered is determined through a review of education, industry experience, training, knowledge, skills, and abilities of the applicant in alignment with market data and other factors.
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 recruiting@automationanywhere.com.
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.
Salary : $35 - $40
