Customer ML Engineer

About the role:

As a Customer ML Engineer, you’ll be a trusted technical advisor and subject matter expert for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by working closely with customers to onboard, enable use-cases, design templates, and pipelines, and help drive the adoption of Arcee’s technology. You will be a subject matter expert on AI industry trends, and best practices, and will work directly with customers to align Arcee’s products to each individual customer use case. You must be ready for technical discussions with engineers, and demonstrate the value of Arcee in business discussions with directors and executives. You will help distill feedback from customers and help improve Arcee’s products while working with the product and engineering team.

‍

What you’ll do:

• You will own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process to make customers successful with Arcee’s products.
• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders.
• Scope customer trials and projects. Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible.
• Create and deliver specialized technical demos according to the customers.
• Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team.
• Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions.

‍

What we’re seeking:

• Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred).
• Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers).
• 2+ years of practical experience as a Machine learning engineer.
• Proficiency with coding languages Python, Java, C++, or similar languages at a production level.
• Experience with public cloud infrastructure, services, and best practices.
• Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues
• Strong Communication Skills - Ability to simplify complex, technical concepts.

‍

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.

‍

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.

‍

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.

‍