About the company Hyperscience 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.
Do they allow remote work?
Remote work is possible, see the description below for more information.
Job description
Weโre looking for amazing Machine Learning talent to join us on our mission to reinvent the way businesses and humans interact. Machine Learning sits at the core of our efforts to automate the future of work by creating a new digital assembly line, where humans and machines constantly interact and collaborate on mission-critical processes.
This is a unique opportunity to work on the full life cycle of an AI solution that is hyper-focused on reinventing the future of work. You will research cutting-edge techniques (e.g. Computer Vision, Natural Language Processing, and Meta Learning), implement them in a fast-paced AI startup environment, and ensure thะตy are integrated in a reliable and scalable way to bring real value to customers. Using state-of-the-art research, you will create enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.
Responsibilities
Apply the latest, cutting-edge advancements in AI/ML research to create technologies for automating business processes from end-to-end.
Work closely with the application engineering teams to integrate state-of-the-art algorithms and model research into the Hyperscience product.
Take full ownership of ML models, including collecting training data, deploying in production, and overseeing the quality and ongoing evaluation of models.
Collaborate with other engineers to build tools for accelerating ML research internally.
Qualifications
5+ years relevant professional experience
Solid understanding of Math and CS fundamentals
Deep knowledge of modern Machine Learning / Deep Learning technologies and proven experience applying them to real-world problems
Experience in Computer Vision or NLP is a plus
Experience in performing applied research experiments and bringing them to production
Strong experience with one or more general-purpose languages (Java, C/C++, Python, etc.)
Demonstrated ability to write high-quality code is an advantage
Team player with strong communication skills
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 stipend
- Pre-tax transportation and commuter benefits
- 6-month parental leave (or double salary to pay for your partner's unpaid leave)
- Free travel for any person accompanying a breastfeeding mother and her baby on a business trip
- A dependent care stipend up to $3,000 per month, per child, under the age of 21 or parent over the age of 65, for a maximum of $6,000 per month total
- Daily catered lunch, snacks, and drinks
- Budget to attend conferences, train, and further your education
- $1,000 one-time-use WFH stipend and $75 monthly WFH stipend
- Relocation assistance
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