Senior 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 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 Senior MLE, you will own projects from 0 to 1 as we continue to launch new features and enrich the underwriting process with valuable insights.
The team works in two-weeks 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 5 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 that 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
Assistance with getting a 5% tax rate (IP BOX)
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 link and send us your CV (in English)
2️⃣ VERIFICATION
Within 24h, our recruiter will verify your CV and reach out to you
3️⃣ PRELIMINARY CALL
30 min conversation with a recruiter - you will learn more about the company and our culture & we will learn more about you
4️⃣ 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
5️⃣TECHNICAL PHONE INTERVIEW
1h hands-on coding task with one of our Engineers
6️⃣ CULTURE FIT INTERVIEW
30 min 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 min meetings during which you will get a chance to meet both of our CEOs!
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
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