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Machine Learning Engineer

| Greater NYC Area
Machine Learning Engineer
Company Description
At HyperScience, we use modern machine learning to turn documents into machine-readable data. Our customers receive a wide variety of documents, like life insurance applications, paystubs, utility bills, insurance claims, that must be processed quickly and accurately to better serve the people at these organizations, and their customers. Amazingly, this is all done manually today. We’re on a mission to change that!
Our product is already delivering value to large, blue-chip organizations in financial services and insurance, and we see a massive opportunity to expand to more industries and automate more business processes. We are looking for people who are excited to help us build upon this foundation and vision.
Founded in 2014 by Peter Brodsky, Vladimir Tzankov, and Krasimir Marinov, Hyperscience has raised $50 million from Third Kind, SV Angel, The Stripes Group, Firstmark, Battery Ventures, and Felicis Ventures.
Job Description
We are focusing on understanding document images and extracting structured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. ML is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques, 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. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time!

Responsibilities

  • Following AI/ML research. and apply it to create technologies for automating cumbersome business work like data entry.
  • Bringing algorithms and models research into practice. Helping integrate the state of the art into HyperScience’s products.
  • Owning ML models end-to-end, from collecting training data to deploying in production.
  • Responsible for the quality and ongoing evaluation of the ML models
  • Working closely with the application teams to successfully integrate models into our product.
  • Collaborate with other engineers to build common tools for accelerating ML research internally.

Qualifications

  • 2 years relevant professional experience
  • Solid understanding of Math and CS fundamentals
  • Strong analytical skills
  • Knowledge of modern ML/DL technologies and experience applying them to real-world projects
  • Experience in Computer Vision or NLP is a plus.
  • Able to perform applied research projects and bring them to production.
  • 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 & Perks

  • 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
  • Paid gym membership
  • 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 child care and education stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total
  • Daily catered lunch, snacks, and drinks
  • Budget to attend conferences, train, and further your education
  • Relocation assistance

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. For Sofia: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.

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Technology we use

  • Engineering
  • Product
    • C++Languages
    • JavascriptLanguages
    • PythonLanguages
    • ReactLibraries
    • ReduxLibraries
    • DjangoFrameworks
    • Microsoft SQL ServerDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • Google AnalyticsAnalytics
    • MixpanelAnalytics
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • ConfluenceManagement
    • JIRAManagement

Location

1 World Trade Center, New York, NY 10007

An Insider's view of HyperScience

What are some social events your company does?

Outside of company-sponsored lunch daily, we do birthday & anniversary celebrations, dessert breaks, and company outings. It’s pretty common to get together for drinks after work or go to karaoke as a team. When our team from Sofia visits, we like to do something social outside the office, whether it’s lunchtime basketball game or rooftop drinks.

John Lee

Talent Acquisition Lead

What projects are you most excited about?

We’re working on building a Machine Learning model that allows our customers to process more types of documents, which will help significantly with their workflow. I’m excited to visit customer on-sites to see how different customers use our product. We’re here to make people’s lives easier so understanding specific use cases is always valuable.

Sarah

Product Designer

What are some things you learned at the company?

Working at a fast-growing startup means that you’ll need to make decisions quickly and decisively, often with limited information. I’m learning that I’ll be wrong at times and this is okay — as long as I recognize why it didn’t work out and quickly pivot. This comes with continuously asking for feedback to make more informed decisions as a team.

Lindsay Bu

Product Operations Associate

How do your team's ideas influence the company's direction?

We operate a growth mentality across all aspects of our business. Every team member is expected to go radically beyond normal expectations. This requires bold ideas coming from everyone. Once we choose a path to follow, we will all get behind it, irrespective of whose idea it was.

Charlie Newark-French

Chief Operating Officer

What makes someone successful on your team?

A successful member of our team is someone who shows up and gives 110% every day, is not afraid to ask for help and uses constructive criticism to better themselves. We represent the entire organization with new clients, and we’re excited to be the first touchpoint that works to understand their pain points and articulate our mission and value.

Lawrence Leeds

Sales Development Representative

What are HyperScience Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Free Daily Meals
Game Room
Stocked Kitchen
Happy Hours
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
Promote from within
Paid industry certifications

Additional Perks + Benefits

Fitness Membership. 6 month paid maternity and paternity leave. Lunch and afternoon treats delivered daily
Brilliant and innovative colleagues.

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