Ema · 8 hours ago
Software Engineer, Machine Learning
Mountain View, CA
Full-time
Hybrid
Entry, Mid Level
$135K/yr - $300K/yr
2+ years expEma is a company focused on creating advanced AI technology to enhance productivity in enterprises. They are seeking a Machine Learning Engineer who will develop and deploy machine learning models related to Natural Language Processing and other AI systems, while working with large datasets and collaborating with both technical and non-technical stakeholders.
Artificial Intelligence (AI)Customer ServiceEmployee BenefitsGenerative AISoftware
Hiring Manager
Karla Castaneda
Responsibilities
Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems
Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our •AI• systems
Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment
Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes
Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption
Qualification
Required
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
Preferred
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
Variable compensation
Equity
Benefits
Company
Ema
Ema uses AI-powered agents to automate tasks in HR, customer support, and data management, making enterprise workflows more efficient.
51-200 employees
H1B Sponsorship
Ema has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (1)
2022 (1)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$61M2024-07-31Series A· $36M
2024-03-05Seed· $25M
Leadership Team
Surojit Chatterjee
Founder & CEO
Souvik Sen
Co-Founder and CTO
Recent News
2025-12-18
2025-10-25
2025-09-27
Company data provided by crunchbase