Senior Solutions Engineer (Post-Sales)

UK (Remote) / Nordics (Remote) / Amsterdam (Remote)
Business – Solutions /
Remote Full-Time Employee /
Edge Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom pre-processing blocks and deployment blocks, which make it significantly easier to put a trained model onto a device. We believe that data-centric engineering is the future of industry transformation, unlocking a positive impact on our society and environment.

We are growing! This is a post-sales engineering opportunity to help our customers build and optimize their data management and machine learning strategy with a focus on enabling wearable health and industrial health devices to leverage AI at the edge. Our customers use Edge Impulse to execute data pipelines. Expertise in designing data pipelines to process large datasets and deriving features that will be used by the customer’s data science teams? If this sounds like your next career move, then we want to talk with you.

Primary Responsibilities

    • Collaborate with customers to optimize Edge AI solutions with best practices in data acquisition, ML development, testing and deployment strategies
    • Collaborate with customers to define and optimize their data management and ML workflow
    • Develop data transformation blocks to pre-process large datasets
    • Work with engineering and account management teams to solve customer technical challenges
    • Conduct customer hands-on training and author end-to-end solutions guides

Preferred Skills and Experience

    • Experience with creative and hands-on problem-solving engineering to build IoT, data analysis, and ML solutions
    • Experience with wearable health technology or industrial predictive maintenance 
    • Track record of working effectively async in a distributed team - with global customers and internally in a remote team
    • Ability to understand and distill customer requirements and leverage excellent communication skills to guide them to a technical solution
    • Experience with Python scripting language and ML/data libraries such as Keras, Pandas or Numpy
    • Experience with C/C++ programming for embedded real-time operating systems (RTOS) and Linux (including knowledge of board support packages and device drivers)
    • The best way to stand out is to detail something you have built with Edge Impulse.

Academic Credentials

    • Bachelor's degree in computer science, computer or electrical engineering with a speciality in AI/ML
    • Masters degree in computer science or ML/data management certification preferred

What We Offer

    • A well-funded company with founders who care about team, users, and values.
    • Competitive pay, stock options, benefits, and vacation time.
    • A dynamic culture that sees work as one element in life (work-life balance).
    • A team that’s engaged and inclusive yet global and diverse.

£70,000 - £73,000 a year
We base our salary ranges from compensation research using both historical and real-time salary data sets. We have a reasonable estimate of the current salary range to be GBP70K-73K + annual bonus + equity + benefits. This range reflects the minimum and maximum target for new hire salaries for this position in areas of the United Kingdom.   

Edge Impulse targets overall compensation at the 75th quartile of the market for similarly placed companies, job families, and grade levels. Our salary ranges take into account a wide range of factors including but not limited to role, grade level, location, training, degrees, certifications, and other business needs.
We are an equal opportunity employer. We appreciate diversity in our remote, global organization. We value inclusivity across our teams. We encourage applicants of all genders to apply for this position. We do not discriminate against any employee or applicant for employment because of race, religion, color, national origin, gender identity, sex, sexual orientation, age, marital status, veteran status, disability status, or any other federal, state, or local protected class.