Forward Deployed Machine Learning Engineer - Special Projects Group

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Special Projects Group (SPG) focuses on Scale’s enterprise-level engagements, deploying the latest AI/ML technology to large, established companies. As our customer base grows, you will be on the front line ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

As a Forward Deployed Machine Learning Engineer (FDMLE) in the Special Projects Group, you will be a crucial early member of the team. You will deploy 0 -> 1 machine learning solutions for customers, help define our technical playbook, build demos, and continue to keep Scale on the cutting edge of AI. 

FDMLEs work directly with customers to understand their most difficult ML problems, wrangle with their internal and external data sources, and design and implement robust solutions. In this role, you will gain rare insight into the inner workings of established industries and Fortune 500 companies.

If you enjoy developing strong relationships with customers, building 0 -> 1, and solving complex problems in an extremely fast-paced environment, this could be your next team. Every day at Scale is different and challenging — we promise you will never be bored.

You will:

• Partner with Scale’s Strategic Business Development leads to deliver on customer pilots and full engagements
• Work with massive, complex datasets composed of structured, semi/unstructured, and multi-modal data
• Own end-to-end development of ML models and infrastructure for customers from prototypes to production
• Take ownership of the customer experience during pilots and engagements
• Work with and leverage the expertise of world-class ML engineers from our entire ML organization
• Partner closely with PMs to identify customer specific feature requests and drive internal product development with customer feedback
• Evangelize Scale and interact with customers at major industry events

Ideally you'd have:

• Strong engineering background in Computer Science or related field
• Technical domain expertise in one or more of the following areas: Natural Language Processing (including named entity recognition and document understanding), Ranking & Recommendation Systems, Applied Operations Research & Optimization, or Computer Vision
• Strong project management, communication, and interpersonal skills
• Desire to help build a new team as part of a high-growth company
• Ability to travel 10-20% of the time, COVID-19 circumstances permitting
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Prior experience working with clients in a pre-/post-sales capacity
• High degree of technical credibility when presenting in front of executives and front-line engineers
• Experience with building and deploying machine learning infrastructure on cloud environments (e.g. AWS, GCP, Azure) 
• Graduate degree in computer science, statistics, cognitive science, mathematics, or related fields