Senior Staff Machine Learning Engineer

Turing; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

An AI research accelerator is seeking a Machine Learning Lead to oversee teams and projects involving large-scale model training and deployment. The ideal candidate will have a strong background in ML and NLP, hands-on experience with Docker, and a solid understanding of distributed training and cloud platforms like AWS, GCP, and Azure. This remote role offers an opportunity to work on cutting-edge AI projects while managing cross-functional teams and ensuring compliance with AI standards.

Servizi

Fully remote environment

Opportunity to work on cutting-edge AI projects

Contractor assignment

Competenze

• Strong background in Machine Learning, NLP, and modern deep learning architectures.
• Hands-on experience in Docker for production deployment.
• Proven experience managing teams delivering ML/LLM models in production environments.
• Knowledge of distributed training and GPU/TPU optimization.
• Experience training or fine-tuning foundation models.
• Contributions to open-source ML or LLM frameworks.

Mansioni

• Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects.
• Provide technical direction on large-scale model training.
• Manage compute resources, budgets, and ensure compliance.
• Communicate progress, risks, and results to stakeholders.

Conoscenze

Machine Learning

Natural Language Processing (NLP)

Deep Learning Architectures

Docker

Distributed Training

Cloud Platforms

Formazione

Bachelor’s or Master’s in Computer Science, Engineering, or related field

PhD preferred

Strumenti

AWS

GCP

Azure

Descrizione del lavoro

Overview

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models, and navigating the intersection of research, engineering, and product delivery.

Responsibilities

• 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.
• Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
• Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.
• Communicate progress, risks, and results to stakeholders and executives effectively.

Qualifications

• Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
• 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).
• Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).
• Experience training or fine-tuning foundation models.
• Contributions to open-source ML or LLM frameworks.

Perks

• Work in a fully remote environment
• Opportunity to work on cutting-edge AI projects with leading LLM companies
• Contractor assignment (no medical/paid leave)
• Duration of contract: Two rounds of interviews (60 min technical + 60 min technical & cultural discussion)

Additional Information

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