Athena
Machine Learning/AI Engineer Intern
At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.
Role Overview
The Machine Learning/AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.
Responsibilities Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance. Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team. Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions. Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios. Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback. Qualifications
Currently pursuing (or recently completed) a degree in Computer Science,Stats, or related field, with coursework in machine learning or artificial intelligence. Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code. Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models. Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models. Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly. Preferred Qualifications
Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects). Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving). Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems. Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks. Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field. Benefits
You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field. Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career. Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers. This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.
At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.
Role Overview
The Machine Learning/AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.
Responsibilities Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance. Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team. Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions. Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios. Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback. Qualifications
Currently pursuing (or recently completed) a degree in Computer Science,Stats, or related field, with coursework in machine learning or artificial intelligence. Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code. Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models. Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models. Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly. Preferred Qualifications
Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects). Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving). Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems. Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks. Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field. Benefits
You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field. Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career. Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers. This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.