Software Engineer, LLM Training Frameworks Engineer

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Written by AI from the job title and company, not by Together AI, so some details may not match this job. The employer's own page has the real description.

Overview

The Software Engineer, LLM Training Frameworks Engineer at Together AI will play a critical role in designing, implementing, and optimizing large-scale machine learning frameworks specifically tailored for training language models. This position entails collaboration with a diverse team of engineers and researchers to develop innovative solutions that enhance the efficiency and capabilities of language learning models, ensuring high performance and scalability in real-world applications. The successful candidate will leverage their technical expertise and creativity to contribute to the advancement of cutting-edge artificial intelligence technologies.

Job Responsibilities

• Design and implement scalable training frameworks for large language models.
• Collaborate with data scientists and researchers to optimize model training processes.
• Analyze and enhance performance of existing machine learning architectures.
• Develop tools and libraries to streamline model training and deployment.
• Debug and troubleshoot issues in training pipelines and production environments.
• Stay updated with the latest advancements in AI and machine learning technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 3 years of experience in software development, preferably in machine learning environments.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms and distributed computing (AWS, Google Cloud, etc.).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team setting.

Technologies & Tools

The Software Engineer, LLM Training Frameworks Engineer will work with a variety of cutting-edge technologies and tools, including but not limited to machine learning frameworks such as TensorFlow and PyTorch, data processing and analysis tools such as Pandas and NumPy, as well as cloud platforms like AWS and Google Cloud for scalable computing. Additionally, familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) is essential for ensuring efficient deployment and management of machine learning models.

Ideal Candidates

Ideal candidates for this role will exhibit a passion for artificial intelligence and a strong desire to innovate within the field of language model training. They will possess analytical thinking and a proactive approach to problem-solving in a fast-paced environment. Moreover, effective communication skills and teamwork capabilities will be vital, as the role often involves collaboration with cross-functional teams. A commitment to continuous learning and professional growth in emerging technologies is also a key characteristic that will set successful candidates apart.