Machine Learning Lead, Ema
$135-300k
Universal AI employee
Open for applications
Universal AI employee
21-100 employees
Open for applications
$135-300k
21-100 employees
Company mission
To build the next-generation AI technology to empower every employee in the enterprise to be their most creative and productive.
Role
Who you are
- We're looking for an innovative and passionate Machine Learning Engineers to join our team
- You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions
- You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact
- 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 Machine Learning technologies
- Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact
- A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field
- Proven 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
What the job involves
- 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
- Lead the processing and analysis of 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
Our take
Ema is looking to empower enterprises with universal AI employees. Essentially, these are AI agents built to support the work of other employees by taking on the most repetitive tasks - leaving real people to be more creative and productive.
As the use of automation explodes, businesses need ways to be more efficient and innovative in order to remain competitive. Ema supports this on both ends by taking away the work that can bog down employees and speeding up this work in the process.
Having raised substantial funds, the company is looking to further develop its proprietary tech that powers the AI employees. Ultimately, the agents will be configurable by enterprises so clients can fine-tune them to their needs, and employ them in any role in their organization.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jul 2024
$36m
SERIES A
Mar 2024
$25m
SEED
Total funding: $61m
Company HQ
SoMa, San Francisco, CA
Leadership
Surojit Chatterjee
(CEO)Member of the Board of Directors at Meesho. Former Executive in Residence at Andreessen Horowitz, CPO at Coinbase, Board Member at Olive and VP at Google.
Souvik Sen
(Head of Engineering)Was VP of Engineering at Okta and Engineering Lead (Data and ML, Privacy and Safety) at Google. They also worked as a Principal Research Scientist at Hewlett-Packard Laboratories.
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