Senior Full Stack Engineer, Machine Learning

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.
Job DescriptionWe are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us.  
Machine Learning (ML) sits at the core of our efforts 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 (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. 

Responsibilities

• Within your first month, you will dive deep into the technology of Hyperscience and gain a product understanding of what we’re building and why it's important for our customers. You will build various features that give fine-grained control of the system to our customer while providing analysis of system performance. You'll become deeply familiar with the components of our frontend and backend systems, and "plumbing" of our data flows.
• After 60 days, you will have successfully managed a large-scale, end-to-end feature that interfaces with multiple teams and technologies. You will do this in an environment that prides itself on communication and process, with the acknowledgement that requirements are sometimes vague and subject to change. Along the way, you’ll proactively point out and fix bugs, infrastructure issues, and tech debt. Customers will delight in using your feature, since it unlocks a critical need and majorly enhances the user's experience.
• After an entire quarter and beyond, you will have had an active voice in directing the technological and product future of our company. This includes suggesting best practices and new technologies for our bleeding-edge stack, working closely with product and design teams on creating new features, and developing them for whole-team use. You will own many pieces of the code base and be proud of it!

Qualifications

• 5+ years experience in building enterprise-grade systems in different environments
• Experience with a web framework / ORM. We use Python / Django
• Еxperience with a modern JavaScript framework is required; we use React and build it all with Webpack
• Еxperience with JavaScript and a good understanding of browser ecosystem, event loop, etc
• Passion for quality and attention to detail
• Desire to work closely with Product & Design teams in building highly interactive and intuitive features
• Proven track record of building complex systems OR strong GitHub/OSS presence
• Comfort with the "building blocks" of the web: http/s, APIs, REST, JSON
• Ability to discuss and defend an engineering approach, but also to fully commit and participate in an alternate approach as part of the team
#Li-Remote

Benefits & Perks- Top-notch healthcare - 30 days of paid leave annually to help nurture work-life symbiosis- 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- Monthly budget to cover child care and educational needs/expenses - Daily catered lunch, snacks, and drinks- Budget to attend conferences, train, and further your education- A dedicated budget to set your work from home space & monthly reimbursement on recurring expenses- Relocation assistance- Paid gym membership- Stock Options- Referral bonus
All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.