Software Engineering Lead, Machine Learning

Ema Unlimited
San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Problem-solving","Teamwork","Stakeholder management","Attention to detail"]

Lead ML engineering efforts building production-ready NLP, information retrieval, and code-generation models. Drive end-to-end ML development from data processing to deployment, with emphasis on Transformer-based architectures, RL, and MLOps, in a hybrid, fast-paced startup setting.

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FursaFursa
Ema Unlimited
Ema Unlimited
2 years ago

Software Engineering Lead, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Lead ML engineering efforts building production-ready NLP, information retrieval, and code-generation models. Drive end-to-end ML development from data processing to deployment, with emphasis on Transformer-based architectures, RL, and MLOps, in a hybrid, fast-paced startup setting.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Conceptualize, develop, and deploy machine learning models that underpin 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 AI systems.
  • •Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use findings to inform model development.
  • •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 model effectiveness and develop automated testing/validation processes.

Key Requirements

  • •Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field
  • •Proven industry experience building and deploying production-level ML models
  • •Deep understanding of NLP techniques and large language models
  • •Proficiency in Python and ML libraries such as TensorFlow or PyTorch
  • •Experience with data processing (SQL, ETL, data warehousing) and large-scale data systems
Experience:NLPMachine LearningAIEnterprise software
Skills:CommunicationProblem-solvingTeamworkStakeholder managementAttention to detail
Tech Stack:PythonTensorFlowPyTorchSQLETLData warehousingMLOpsGCPAzure

Company Brief

Ema Unlimited
Builds an enterprise agentic AI platform (Ema) that creates AI employees to automate complex workflows across customer support, HR, finance and other functions, with a focus on security, compliance, and model fusion for high accuracy.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 1.5
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