Senior Machine Learning Engineer

October 28, 2022 0 Comments

Company DescriptionHyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed. For more information, please visit Learning (ML) is the core of our effort to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems. This is an opportunity to work on the full lifecycle of an AI solution – you will research cutting-edge techniques in document understanding, which sits at the intersection of Computer Vision, NLP, and spatial modeling. You will take your idea from research to production and integrate your ideas directly into our product to drive a positive impact for users. Finally, you will build and maintain training, inference, and monitoring pipelines. Benefits- Top-notch healthcare for you and your family- 30 days of paid leave annually to help nurture work-life symbiosis- A 100% 401(k) match for up to 6% of your annual salary- Stock options- Wellness reimbursements for qualified expenses- 6-month parental leave- A monthly childcare, education and elder care reimbursement for up to 2 dependents- $50 internet expense reimbursements We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

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