Department: Engineering

Location: Remote, USA

About The Role

We’re looking for a brilliant Machine Learning Engineer to help our team refine our brandprint recognition platform and develop features that enable rapid growth.

You will be chiefly responsible for designing, training, shipping, and documenting customer-facing ML models. In this role, you have the ability to shape the future of our company and the market intelligence industry as whole.

To do so, you will need proven experience with text classifiers, image classifiers, Optical Character Recognition (OCR) and object detection. You have multiple years of professional experience experimenting with neural networks, machine learning techniques, and computer vision. Your Python, Tensorflow, and Linux skills are peerless. You’re not intimidated by terabyte-scale datasets. And you are eager to assume an active leadership role at a fast-growing startup. 

Beyond technical chops, applicants must enjoy taking ownership while closely collaborating with others, enjoy iterating and pivoting quickly, and excel at building tools that are easy to understand and extensible. 

Team & Technology

We bring established Big Data practices and scale to new-age media like TikTok, Twitch, and Hulu, empowering agencies to automate menial attribution work and generate meaningful insight.

We’re a fully-distributed team based in Chicago.

We adapt Scrum and Lean approaches depending on the project. Our architecture takes an API-first approach focused on independently maintainable microservices. We leverage different languages throughout our stack based on product constraints and goals.

We leverage different backend technologies including Python, Linux, Javascript, and Vue. Our infrastructure rests atop AWS, Azure and GCP. We leverage tools like Kubernetes, Cloud Functions, and Firebase. Our implementations are designed to be cloud-agnostic. All this activity is driven by data pulled from disparate sources. We use data to make our decisions, and we empower our clients to do the same.

If you’re the type of person who comes to work every day expecting to learn, contribute, teach, take ownership and have fun then we think you’ll fit right in.

Responsibilities

• Everything involved in applying a ML model to a production use case

• Designing and coding neural networks, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime

• Take our models currently in production and identify areas for improvement; improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics

• Work with team to identify opportunities for improvement in our current platform and for enabling coming SaaS product launch

• Ingest customer feedback and use that feedback to make frequent model improvements and develop new features

• Actively contribute ideas for product improvements and solutions to technology challenges, including features and performance considerations.

• Stay abreast of new ML technology and trends

Qualifications

• 5+ years of professional web/software development experience.

• 3+ years of experience with text classifiers, image classifiers, OCR, object detection

• 3+ years of experience with Linux, Tensorflow, and Python

• You have successfully trained and deployed a deep learning machine model (image, video, text, or audio) into production, with measurably improved performance over baseline

• You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice

• Experience prioritizing and performing multiple tasks in time-critical situations.

• Comfort working within a fast-paced, dynamic and distributed environment.

• Attention to detail, strong organizational skills and excellent follow-through.

• Adept problem-solving ability, judgment and resourcefulness.

• Strong written and verbal communication skills

• Intellectual curiosity, self-motivation, independent with team building skills.

• Undergrad or graduate degree in Computer Science or similar technical field, with significant coursework in mathematics or statistics