Machine Learning Solutions Engineer

June 30, 2022


The Company SuperAnnotate is helping companies build the next generation of Machine Learning products with its end-to-end platform and integrated marketplace of managed annotation service teams. SuperAnnotate provides comprehensive annotation tooling, robust collaboration, and quality management systems, no-code Neural Network training and automation, as well as a data review and curation system to successfully develop and scale machine learning projects. Everyone from researchers to startups to enterprises all over the world trust SuperAnnotate to build higher-quality training datasets up to 10x faster while significantly improving model performance. SuperAnnotate was recognized as one of the world’s top 100 AI companies in 2021 by CB Insights and the #1 Data Labeling platform in G2!  The role We are looking for an outgoing individual with a passion for ML to join us as a Solutions Engineer. In this role, you will work hand-in-hand with technical teams as a machine learning and data subject matter expert to differentiate SuperAnnotate to our customers. You will help prospective customers and partners understand the power of SuperAnnotate, explaining technical features, helping customers design custom workflows and pipelines, as well as provide technical expertise to our customers and internal teams.  Note:The company is looking for candidates both in Europe (to work remotely) and Armenia (to work in-office). Your Day: Work with our sales team in the US and EU to understand key customer technical objections, and develop the strategy to resolve technical blockers.Provide in-depth machine learning expertise to support the technical relationship with SuperAnnotate’s customers, including product and solution briefings and proof-of-concept work. Partner directly with product management to prioritize solutions impacting customer adoption of SuperAnnotate.Work hands-on with customers around the world to demonstrate and prototype SuperAnnotate’s product integrations in customer/partner environments.Recommend integration strategies, enterprise architectures, and application infrastructure required to successfully implement a complete solution using best practices on SuperAnnotate. What’s required to get started: Bachelor's degree in Computer Science, Mathematics, Machine Learning, or equivalent experience.Experience with machine learning, and programming in Python.Experience delivering technical pitches.Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.Outstanding English writing and verbal skills. Preferred qualifications Master's degree in Computer Science, Machine Learning or other technically related field.1+ years of experience as a technical solutions or sales engineer in a tech environment or in a customer-facing role within a Professional Services/Systems Engineering team.Experience building machine learning solutions (e.g., data pipelines, convolutional networks, etc.).What You Will Have With Us - A competitive compensation package including stock options- Medical insurance for you and your family members- Resources to invest in your professional development- Flexible paid time off and work from home policy- Peer appreciation program- Referral program  Equal Opportunity  We are an equal opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

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