Principal Engineer – ML

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6 hours ago

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Turing

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Artificial Intelligence • SaaS • Enterprise

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

1001 - 5000 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics. • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design. • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML. • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards. • Communicate progress, risks, and results to stakeholders and executives effectively. • Overlap of 6 hours with PST time zone is mandatory.

🎯 Requirements

• Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed • Hands-on experience in Docker for Production deployment. • Proven experience managing teams delivering ML/LLM models in production environments. • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. • Excellent leadership, communication, and cross-functional collaboration skills. • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).

🏖️ Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week) • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) • Competitive compensation • Flexible working hours