Machine Learning Engineer

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🕒 July 2, 2025

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Environmental Management Authority

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Environmental Management Authority (EMA) is a company that specializes in offering advanced artificial intelligence solutions for business automation and enterprise productivity. Their flagship product, 'Ema', is a Universal AI Employee designed to boost productivity by learning, adapting, and evolving to fit various roles within an organization. With features like conversational AI configuration, a pre-built library of agents, and integration with numerous applications, EMA enables companies to streamline complex workflows efficiently. EMA emphasizes trust, security, and compliance, providing customizable private AI models with advanced data governance and top-tier encryption. The company services a range of sectors including healthcare insurance and fintech, making it a versatile choice for enhancing business operations across different industries.

📋 Description

• Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. • Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. • Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week. • We're looking for innovative and passionate Machine Learning Engineers to join our team. • You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces.

🎯 Requirements

• A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. • At least 2 years of industry experience in building and deploying production-level machine learning models. • Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models. • Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems. • Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. • Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. • Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices. • Familiarity with cloud platforms like GCP or Azure. • Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. • Good understanding of software development principles, data structures, and algorithms. • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. • The ability to work collaboratively in an extremely fast-paced, startup environment.

🏖️ Benefits

• Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. • Certain roles may be eligible for variable compensation, equity, and benefits.