Vaga de parceiro

Senior Machine Learning Engineer (LatAm) - São Paulo / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • About Kalepa:Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook.
  • Kalepa is upending this.
  • Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions.
  • Our AI is designed to deliver real results - insurers literally see massive improvements to their top and bottom lines as soon as they implement Copilot.
  • That's why our clients call Copilot "truly an underwriter's dream" and proclaim that Copilot helps them "almost double the amount of accounts they can look at in the day.
  • "Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber.
  • Kalepa is backed by leading VCs like IA Ventures and Inspired Capital.
  • Our Values (This is important):Many organizations have a dusty list of corporate values that no one ever follows.
  • Kalepa is not one of those companies.
  • Our values are designed to unlock the potential of our employees.
  • Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft.
  • There are no easy days.
  • Kalepa's exceptional speed and determination are our biggest differentiators: this is how we win.
  • Customer Focus - We will ruthlessly prioritize the work that drives our clients' growth, profitability, and efficiency.
  • We are not building things just because they seem cool - we are here to solve our customers' most strategic problems.
  • Meritocracy - Too many exceptional people are stifled by corporate bureaucracies.
  • At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth.
  • Transparency - We are honest with each other.
  • We don't believe in back-office politics and keeping employees in the dark.
  • Transparency allows us to instantly cut to the heart of the matter and figure it out together.
  • Experimentation - For many of the problems we face, no company has ever solved them before.
  • We tackle these by quickly testing, measuring, and iterating to determine the path to success.
  • In addition to our NY office, we have remote employees speaking 10+ languages across the globe.
  • But we invest in bringing our people together both for regional meetups and global offsites.
  • Kalepa's culture isn't for everyone, and that's ok.
  • But for the people who are a fit, they can't imagine working elsewhere.
  • About the role: Salary range: $80k $115k USD* Kalepa is looking for a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment at the scale of machine learning models.
  • As a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses.
  • You will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.
  • ) into novel insights about behavior and risk.
  • Team members are given full ownership over their projects and are expected to drive the project's direction and maintain focus.
  • The team works in a two-week sprint, and ML Engineers will work closely with Product Management and Software Engineers.
  • About you: You have 5+ years of experience in engineering and data science.
  • You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer.
  • The words "it can't be done" don't exist in your vocabulary.
  • You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics.
  • You are experienced in Python and its major data science libraries, and have deployed models and algorithms in production.
  • You are comfortable with data science as well as with the engineering required to bring your models to production.
  • You are excited about using a wide set of technologies, ultimately focused on finding the right tool for the job.
  • You value open, frank, and respectful communication.
  • As a plus: You have experience with AWS.
  • You have hands-on experience with data analytics and data engineering.
  • What you'll get: Competitive salary (based on experience level)*.
  • Significant equity options package.
  • Work with an ambitious, smart, global, and fun team to transform a $1T global industry.
  • 20 days of PTO a year.
  • Global team offsites.
  • Phone reimbursement.
  • Gym reimbursement.
  • Student stipend.
  • The salary range listed is an estimate and will vary based on a variety of factors.
  • Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.
  • Seniority levelMid-Senior level Employment typeFull-time Job functionEngineering and Information Technology Industries Insurance #J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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