Senior Solutions Engineer (Full-time)

Employment: Contract Experience level: Mid-Senior Level Job Description We’re looking for a senior solutions engineer to help customers integrate and develop recommendation models using the Shaped Platform. Responsibilities include connecting external data sources to Shaped, creating ranking models with our declarative SQL interface, and helping customers achieve their business objectives. As a founding solutions engineer, you'll collaborate with a diverse range of customers to solve their ranking challenges. Additionally, you'll contribute to shaping our product roadmaps and engineering culture.  We’re excited to work with you. Come build the future of AI with us! Qualifications Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous. 4+ years of industry experience in a software engineering, data science or solutions architecture role Proficient with Python, SQL Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solving In-depth knowledge of mathematics, statistics and algorithms. Operate well within fast paced, small teams  Excellent written and verbal communication skills. Responsibilities Become an expert at using the Shaped ranking platform Experiment with ranking models for customer's discovery use-cases Analyze data to identify performance improvements for customers' models  Experiment with pre-trained image, language, audio and video embedding models that understand our customer's discovery data Build strong relationships with customers’ technical teams and leaders to ensure long-term success with Shaped Deliver technical demos to showcase the Shaped’s capabilities to customers. Proactively communicate with customers on timelines, updates and next steps Additional Information All your information will be kept confidential according to EEO guidelines. Salary $80K - $150K   Equity 0.05% - 0.10% Company Description Shaped is a machine-learning platform for data teams to build real-time personalized recommendation systems and search. We want to give any company the same superpowers that TikTok, Meta and Amazon use to power their personalization. We're based in Brooklyn in New York and backed by top investors like Y-Combinator and executives from Meta, Google and Amazon.