Machine Learning Engineer

Who are we?

Kalepa is a fully remote startup dedicated to enhancing underwriting performance and driving profitable premium growth for the commercial insurance industry. Kalepa's AI-powered Copilot software enables underwriters to focus on the highest ROI opportunities and quickly evaluate and optimally select risk. Kalepa is backed by IA Ventures, Inspired Capital, and leaders in technology and financial services. Our HQ is located in New York.

Kalepa is looking for a Machine Learning Engineer with 2+ years of experience to lead the framing, development, and deployment at the scale of machine learning models. As a MLE, you will own projects from 0 to 1 as we launch new features and enrich the underwriting process with valuable insights. The team works in two-week sprints and delivers 

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.

🛠 Tech Stack 

🎯Back End: Python

🎯Development process: pSQL, RedShift, Jira, Docker

What you will be responsible for:

🕹Turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk

🕹Work closely with a small team designing, building, and deploying machine learning models to tackle our customers’ questions

🕹Collaborate with a small team of full-stack, data, and DevOps engineers

✅Apply ✅to us if you have:

⭐ Minimum of 2 years of experience

⭐ An in-depth understanding of applied machine learning algorithms, especially NLP, and statistics

⭐ Experience in Python and its major data science libraries and have deployed models and algorithms in production

⭐ Comfort with data science and the engineering required to bring your models to production

⭐ Experience with AWS (nice-to-have)

⭐ Hands-on experience with data analytics and data engineering (nice to have)

⭐ Excitement about using a comprehensive set of technologies, ultimately focused on finding the right tool for the job

⭐ Preference for an open, frank, and respectful communication style

A concrete mindset 🧘 is crucial to us, so ⛔DON’T ⛔apply if:

💔 You’re not a true hustler. Who’s a hustler? Good question! Somebody who never takes no for an answer. The words “it can’t be done” don’t exist in their vocabulary

💔You’re looking for an 8-16 job

💔You don’t like to take ownership

💔You’re afraid of constructive feedback

💔You’re not comfortable with independent work

What you’ll get: 

🔥 A personalized and clear career development plan, including employee reviews every six months. We invest time in developing and supporting our employees, giving them opportunities to grow. 

🔥 Transparent and fair compensation and promotion discussions solely based on performance. One of our top performers was even promoted after only three months.

🔥 The possibility of working with an ambitious, smart, global, and fun team that is transforming a trillion-dollar industry 

🔥 A ground-floor opportunity to build the foundations for the product, team, and culture

🔥 Exposure to wide-ranging intellectual challenges spanning full-stack software development, AI / ML, and design

🔥 Possibility to work with Kalepa's team members who bring experience from top technology, insurance, and intelligence institutions, including Facebook, Google, Amazon, ClassPass, Atlassian, Mastercard, MIT, Berkeley, UPenn, the University of Warsaw, and the Israel Defense Forces

🔥 Fully remote work environment. Flexible start and finish times

Benefits:

💵 Very competitive base salary 

📈 Significant equity options package (learn more https://carta.com/blog/equity-101-stock-option-basics/)

🏝 20 paid vacation days a year

🌆 Paid Bank Holidays

💆‍♀️ Unlimited Sick Leave (+👪parental leave)

🏋 Multisport Plus Card, 🏥LuxMed comprehensive package

📞 Mobile phone bill reimbursement

🎒 Continued learning & 🏠Home office credit stipend

🌍 Quarterly teams offsites in global locations

---

Recruitment process in 10 quick steps 😳 - complete within 1-2 weeks (yes, not the shortest, but if you love challenges, you’re in the right place. To reward that, you will always get clear & honest feedback within 24h top ⏰)

1️⃣ APPLICATION

Apply via the link and 📩 send us your CV (in English) 🇺🇸

2️⃣ VERIFICATION

Within 24h, our recruiter will verify your CV 📄 and reach out to you

3️⃣ TASK

Based on your preference, we will send a task on the HackerRank platform - 3 tasks, 75 min to complete + you can choose a programming language

4️⃣ PRELIMINARY CALL

~30-minute conversation with a recruiter - you will learn more about the company and our culture & we will learn more about you

5️⃣TECHNICAL PHONE INTERVIEW

1h hands-on coding task with one of our Engineers

6️⃣ CULTURE FIT INTERVIEW

30-minute meeting to measure if you are a good match for our organization

7️⃣ FACE-TO-FACE STAGE

2h back and forth interview session. It contains 1h meeting about Data Science + two 30-minute meetings during which you will meet our PM/Chief of Staff & CEO!

8️⃣ REFERENCES

Uff, you are almost there... As part of our process, we hold 2-3 reference calls with individuals who have worked with you in the past

9️⃣ OFFER

We will send you a proposal of the offer and await your decision.

🔟 WELCOME

You will write code from day one 

🙋🏻‍♀️Gosia will take care of your recruitment process!

If your expectations identify with ours and you want to join our team - apply today 👇