AI Product Engineer

About the role:

As an AI Product Engineer at Arcee, you will play a critical role in the development and enhancement of our GenAI product. You will collaborate with cross-functional teams, including Researchers, Machine Learning Engineers, and the Product team, to design, implement, and optimize our product. Your expertise will drive the creation of robust, scalable, and high-performance AI solutions that meet the needs of our customers and stakeholders.

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What you’ll do:

• Develop and implement AI models, particularly Large Language Models, to support the GenAI product.
• Collaborate with Researchers and Engineers to preprocess data, to design training pipelines, and to optimize model performance.
• Work closely with Product peers to understand customer requirements and translate them into technical specifications.
• Conduct experiments to test and validate model improvements, ensuring high accuracy and efficiency.
• Monitor and maintain LLMs in production, troubleshooting and resolving issues as they arise.
• Stay up-to-date with the latest advancements in AI and Machine Learning, incorporating best practices into the development process.
• Document and communicate technical details and progress to stakeholders, ensuring transparency and alignment.

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What we’re seeking:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying AI models, particularly Large Language Models.
• Strong programming skills in Python and familiarity with AI/ML frameworks such as PyTorch, Hugging Face,  transformers, TRL, alignment-handbook, MergeKit, sagemaker, eval-harness, mlflow.
• Experience with data preprocessing, model training, hyperparameter tuning, and performance optimization.
• Understanding of deep learning architectures, including transformers and attention mechanisms.
• Knowledge of cloud platforms (AWS) and experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with natural language processing (NLP) techniques and applications.
• Familiarity with MLOps practices and tools for continuous integration and deployment of AI models.
• Prior experience in a Product-focused role, working closely with Product Managers and other stakeholders.
• Publications or contributions to the AI/ML community.
• Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

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About Arcee.AI

Arcee.AI emerged from the brainstorming of three co-founders – Mark McQuade, Jacob Solawetz, & Brian Benedict – who envisioned a platform that would allow companies to use SLMs to fuel innovation while still retaining full control over their data and models. It was a vision based on deep knowledge of both the technical and business aspects of AI and machine learning, which they had gained via leading roles in companies including Hugging Face, Roboflow, and Tecton.

Upon Arcee.AI’s emergence from stealth in September 2023, the market immediately confirmed the need for their easy-to-use platform for creating performant and efficient custom LLMs, or what they call Small Language Models (SLMs). As they announced their Seed Round in January 2024, quickly followed by their Series A in July, they say what they’re most proud of is seeing their expanding customer base empowered by Arcee.AI-built SLMs – which are driving business value and innovation for enterprises across the globe every day.

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Equal Opportunity

We are an Equal Opportunity Employer, offering equal opportunity to all regardless of race, religion, gender identity, sexual orientation, age, citizenship, marital status, disability, and more. We would like to remind candidates that the listed qualifications for each role are not hard requirements, and we encourage them to apply if they feel they would be a good fit.

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Compensation

We offer competitive salaries, equity, and benefits. We base our salaries on location, role, and level as well as consideration of the candidate’s experience and overall qualifications.

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