Machine Learning Engineer

2 days ago

Bodega Bay, California, United States Ema Full time
Unlock the Power of AI with Ema

Ema is revolutionizing the enterprise with cutting-edge AI technology, empowering employees to be their most creative and productive. Our proprietary platform allows businesses to delegate repetitive tasks to Ema, the AI employee. With a team of ex-Google, Coinbase, and Okta executives, we've raised capital from top investors and angels, including Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, and Gokul Rajaram.

Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. We're well-funded and based in Silicon Valley and Bangalore, India. This role will be a hybrid, with employees working from the office three days a week.

Be Part of a Mission-Oriented High-Growth Startup

We're seeking an innovative and passionate Machine Learning Engineer to join our team. You'll conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. You'll work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.

Key Responsibilities:
  1. Develop and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems.
  2. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems.
  3. Lead the processing and analysis of large, complex datasets, and use your findings to inform the development of our models.
  4. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  5. Implement A/B testing and other statistical methods to validate the effectiveness of models.
Requirements:
  • 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 retrieval, ranking, reinforcement learning, and agent-based systems, and experience in building 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.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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