Machine Learning Scientist (New Grad)

We have a rare opportunity for an eager new Bachelor's or post-graduate candidate who wants to kickstart their career as a Machine Learning Scientist. This is a chance to take your passion for solving complex problems and apply your findings tactically, not just theoretically, as you build out solutions to solve a major industry challenge faced by large global customers. 

Toronto, ON

Chisel AI

Chisel&nbsp;AI&rsquo;s purpose-built AI solution for commercial insurance reads unstructured insurance data 400 times faster than a human&nbsp;&ndash; and&nbsp;with greater accuracy. Our solution automatically recognizes over 500 insurance-specific data points including limits, premiums, deductibles, coverages, exclusions, and more.<br /><br />Our advanced platform and intelligent workflows automate high volume, mundane processes like policy checking, quote comparison, submission triage and prioritization. By digitally transforming routine underwriting and brokering activities, commercial insurance carriers and brokers can double their business and deliver a better customer experience without adding staff.<br /><br />Chisel&nbsp;AI&nbsp;won Gold at the 2019 Zurich Innovation World Championship and the ACORD InsurTech Innovation Challenge in 2018. https://chisel.ai

keywords: who we are,the opportunity,what's in it for you,why join chisel?,develop,collaborate,education,a technical skillset,intellectual curiosity

Entry Level

Overview: <p>Since Ron Glozman founded Chisel AI in 2015 (<a href="https://www.chisel.ai/our-story">see his full story here</a>) we&rsquo;ve evolved to be the machine learning leader in the insurance space. Our software reads insurance forms in milliseconds and extracts key policy information for some of the world&rsquo;s largest companies. At Chisel AI, we make it possible for our customers to process data 400X faster than a human can; allowing them to focus on nuanced and interesting work that drives real value for their customers &ndash; which is now more important than ever.</p> <p><strong>The opportunity:</strong></p> <p>We have a rare opportunity for an eager new Bachelor's or post-graduate candidate who wants to kickstart their career as a Machine Learning Scientist. This is a chance to take your passion for solving complex problems and apply your findings tactically, not just theoretically, as you build out solutions to solve a major industry challenge faced by large global customers.&nbsp;</p> <p>Reporting to our Product Development Manager, you will collaborate with our Machine Learning and Engineering teams to further iterate our core AI information extraction competency. This is a unique opportunity to define AI models and revolutionize an industry with actionable data.&nbsp;&nbsp;</p> <p><strong>What's in it for you:</strong></p> <p><em>A hands-on role.</em> &nbsp;This is a foot in the door at an exciting AI company, building real-world, in-demand machine learning solutions for consumers; solutions that you will have an opportunity to see go-live. This is a practical hands-on role, not research or theoretical, where you will measure and iterate solutions in response to the industry's needs.</p> <p><em>Mentorship. </em>You will be trained on deploying machine learning models to make an impact on the product. You will be mentored by senior staff and learn new technologies and approaches.</p> <p><em>Rewarding technical challenges. </em>You will step up to the challenge of working on our product, gaining exposure to natural language processing and understanding (NLP and NLU) applied to Document Information Extraction. As part of a cross-functional product team, you will build and help deploy ML solutions to extract and model information in a document to be used by our applications.</p>
Responsibilities: <p><strong>Our new Machine Learning Scientist will:</strong></p> <ul> <li>Develop. In this role, you'll hit the ground running writing production-ready code for our core AI capability within your first month, creating new ML algorithms and models. You will work with our Product Development teams to iterate, develop and mature best in market product solutions.</li> <li>Collaborate. You will work closely with the Product Development Manager within a cross-functional team including Machine Learning Scientists, Data Engineers, and Software Developers to execute on our product roadmap and deliver value to Chisel AI's customers.&nbsp;</li> </ul>
Requirements: <p><strong>Our new Machine Learning Scientist has:</strong></p> <ul> <li>The education. You hold a bachelor's or master's degree in machine learning, computer science, physics, mathematics, statistics, or a related analytical field. We do, however, recognize that not everyone gains their skills this way. If you have a bachelor's degree in software engineering or computer science and the technical work experience to match, we'd still like to see your profile.&nbsp;</li> <li>The technical skillset. You have a deep knowledge of Python ML tools, including scikit-learn, and Pandas or similar frameworks. You've successfully applied these technologies in past academic and research projects; and are eager to learn new ways to leverage these frameworks.</li> <li>The intellectual curiosity. You are a solutions-oriented individual who wants to dig deep into and apply the latest research to solve real business problems with a desire to grow your career in tech.&nbsp;</li> </ul> <p><strong>So what do you need to know about Chisel AI?&nbsp;</strong></p> <p>We are technology enthusiasts and experts pushing the limits on how AI will shape the future of insurance. Having successfully raised one of the largest seed rounds in Canadian history and with partners like Venrock, a leading Silicon Valley venture firm, by our side very little stands in the way of our success.&nbsp;</p> <p>We&rsquo;ve been recognized by several of the top accelerators in Canada including Creative Destruction Labs and the DMZ and were crowned the winner of the <a href="https://www.businesswire.com/news/home/20181016005679/en/Chisel-AI-Wins-Major-Innovation-Award-Global">ACORD Global InsurTech Innovation Challenge</a> in 2018. All of which just marked the start of our momentum as in 2019, we won gold at the <a href="https://www.businesswire.com/news/home/20190131005523/en/Chisel-Wins-Gold-Zurich-Innovation-World-Championship">Zurich Innovation World Championship</a> and made the <a href="https://cixsummit.com/2019/cixtop20/">CIX Top 20 Early Companie</a>s list celebrating the most innovative technology companies in Canada.&nbsp;</p> <p><strong>Why join Chisel AI?</strong></p> <p>We&rsquo;re a company with heavy traction, big clients, and a plan to expand rapidly. We&rsquo;ve assembled a strong and diverse leadership team and are poised to scale and develop talented people of all levels. This is a place where failures turn into opportunities, where we learn from each other and where everyone&rsquo;s voice is heard. We&rsquo;re at a unique and rare stage of growth that will give our team and those who join us a chance to put their mark on everything we build.&nbsp;</p> <p><strong>What you can expect when you apply to Chisel AI:</strong></p> <p>We know that diversity and belonging makes for the best problem solving and creative thinking. Chisel AI is committed to fostering an inclusive and accessible environment where employees feel valued and respected, and where every employee has the opportunity to realize their potential. We want to know what motivates you and we don&rsquo;t believe that everyone follows the same career path. We are dedicated to adding new perspectives to our team and encourage you to apply if your experience is close to what we are looking for.</p> <p>We are committed to providing reasonable accommodations, if required, and will work with you to meet your needs.&nbsp;</p> <p>Due to COVID-19 please expect changes to our standard recruitment process. In all instances, the safety of our team and our candidates is of our utmost concern so we will be conducting interviews virtually and online. We will keep you informed on these changes and ensure that you are prepared in advance with the necessary instructions to conduct the next steps in the recruitment process.</p>