What are the responsibilities and job description for the Machine Learning Engineer position at Critical Mass?
The Critical Mass technology team is looking for an inspired, motivated AI/ML developer to join our team. We are a full-service agency with a relentless focus on the customer and we use technology to make people's lives easier.
This role will be remote, but you'll be working with a multi-disciplinary team to create best-in-class AI/ML-powered user experiences. We thrive on a balance of collaboration and focused time which means you'll be a key part of the design and prototyping process, helping the larger team understand what AI can do and how it can create great consumer experiences. Critical Mass is a creative company at heart that uses technology to deliver amazing experiences for our clients. We have a lot of fun and hope you'll join us.
This is a contract position with an expected end date of January 19, 2024.
You will:
- Develop best-in-class user experiences using machine learning/AI
- Work with technical leads and partners to identify platforms, scope the delivery effort, and deliver a successful implementation using existing - or custom - AI solutions based on creative requirements
- Collaborate with account managers, project managers, and creatives to set expectations around the capabilities and constraints of current-generation machine learning and AI solutions
- Work with technology leads and DevOps to architect a scalable cloud-based solution for production deployment
You have:
- Bachelor’s degree in Computer Science, Engineering or related technical field or equivalent practical experience.
- 5 years of demonstrated development experience
- Experience in creating and evaluating AI/ML solutions
- Experience with one or more of the following technologies: TensorFlow, Torch
- Experience creating, modifying, and optimizing AI prompts to shape LLM response contexts and guidelines
You may have:
- Experience fine-tuning LLMs
- Experience generating synthetic data sets
- Experience with AI image generation engines, APIs, etc.
- Experience with developing scalable, cloud-based workflows
- Experience rapidly assimilating new technologies