The Nav technologies, inc. Machine Learning Engineer interview guide, interview questions, salary data, and interview experiences.

Nav technologies, inc. Machine Learning Engineer Interview Guide

Getting ready for an Machine Learning Engineer interview at Nav technologies, inc.? The Nav technologies, inc. Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Nav technologies, inc. Machine Learning Engineer roles.</li>
<li>Gain insights into the Machine Learning Engineer interview process at Nav technologies, inc..</li>
<li>Practice real Nav technologies, inc. Machine Learning Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Nav technologies, inc. Machine Learning Engineer interview.


Getting ready for an Machine Learning Engineer interview at Nav technologies, inc.? The Nav technologies, inc. Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Nav technologies, inc. Machine Learning Engineer roles.
- Gain insights into the Machine Learning Engineer interview process at Nav technologies, inc..
- Practice real Nav technologies, inc. Machine Learning Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Nav technologies, inc. Machine Learning Engineer interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Nav technologies, inc. Machine Learning Engineer Interview Process

Given two dates, write a program to find the number of business days that exist between the date range.

Example:

Input:

<pre tabindex="0" class="chroma"><code>date1 = 2021-01-31
date2 = 2021-02-18
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def delta_buss_days(date1,date2) -&gt; 14
</code></pre>

Business Days

Python & General Programming

How would you design a classifier to predict the optimal moment for a commercial break during a video?

Commercial Break

Machine Learning

Let’s say you are designing a marketplace for your website.

Selling firearms is prohibited by your website’s Terms of Service Agreement (not to mention the laws of your country). To this end, you want to create a system that can automatically detect if a listing on the marketplace is selling a gun.

How would you go about doing this?

While designing a system to detect firearms listings on a marketplace website, what metrics could be used to minimize both false positives and false negatives?

While designing a system to detect firearms listings on a marketplace website, what metrics could be used to minimize both false positives and false negatives?

Detecting Firearm Sales

How would you build a model to detect if a post on a marketplace is talking about selling a gun?

Nav technologies, inc. Machine Learning Engineer Interview Questions

<h3>Job Description</h3><div>Job Description<div><div><div><div><div><div>Nav is the leading credit and financial health platform used by more than 2.4 million small business owners in the United States. We're on a mission to give every small business owner the chance to succeed. The team views each day as an opportunity to challenge the norm, push boundaries, and create meaningful products, services, and experiences that make a positive difference for small business owners each and every day. At Nav, our team is just as diverse as the customer base we serve. And, that's something we're incredibly proud of. We value individualism just as much as we do hard work, talent and smarts. Working at Nav isn't just a job — it's an opportunity to gain invaluable experience, work with dedicated professionals, and make a real, lasting impact. If you're ready to be part of a team that's driven by heartfelt purpose and data, let's talk. We are looking for a Senior Marketing Data Analyst to help Nav scale the impact of our marketing initiatives. In this role, you will serve as a strategic thought partner to marketing, product, and data teams. You will provide advanced analytical insights that drive growth, improve channel efficiency, and shape customer acquisition and retention strategies.YOU WILL: <ul><li>Own complex marketing and sales analytics projects end-to-end, including scoping, data exploration, modeling, and stakeholder communication.</li><li>Design, implement, and analyze experiments such as A/B tests and incrementality studies to optimize paid channel performance.</li><li>Refine Nav's attribution frameworks and create customer journey analyses to understand full-funnel performance across marketing channels .</li><li>Collaborate with Engineering teams to improve data availability, tracking infrastructure, and reporting automation.</li><li>Build and maintain dashboards and self-serve tools</li><li>Contribute to a culture of analytical excellence and knowledge sharing.</li><li>Present findings and strategic recommendations to senior leadership and executive stakeholders.</li></ul>WHO YOU ARE:<ul><li>6 to 10+ years of experience in data analytics, with substantial experience in performance marketing, growth, or digital acquisition</li><li>Strong SQL skills and experience working with large-scale data in a modern data warehouse</li><li>Proficiency in Python for analysis and modeling</li><li>Deep understanding of B2C or B2B digital marketing, marketing funnels, attribution models, CAC/LTV metrics, and ROI optimization</li><li>Experience designing and analyzing controlled experiments (e.g., geo-lift, holdout, multivariable testing) or user-level A/B tests)</li><li>Proven ability to operate independently and lead ambiguous, cross-functional initiatives.</li><li>Exceptional ability to collaborate cross functionally across Marketing, Product, Engineering, Finance and Data teams</li><li>Demonstrated ability to proactively deliver insights and recommendations to marketing and sales teams </li></ul>More about NavInclusion at Nav:At Nav, we celebrate what makes our employees unique because the businesses we serve are progressively diverse and distinctly original. Navericks are diverse, side hustlers, immigrants, veterans, queer, and we push generational boundaries. We are college dropouts, PhDs, special needs parents, allies, pet owners and community leaders. Navericks are human. We are committed to upholding a safe, supportive environment where everyone matters. We are committed to making a better future for all of us. We have created a workplace where people of all backgrounds can express their identities authentically. To put it simply, we want you to be proud to be you.Our Compensation Philosophy is simple but powerful:At Nav, we are transparent about our total rewards, including pay, across all levels and roles. We believe great, enduring relationships are grounded in trust and transparency. Compensation shouldn't be a distraction, and employees should understand how pay and career advancement decisions are made. Providing equal pay for equal work is table stakes for being a great place to work. Gender and ethnic inequity should only be something that our children read about in history books. We believe providing Navricks with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they've got — not because they're simply making money, but because they've fallen in love with our vision, mission, values, and team.During the interview process, your recruiter will be explaining how our rubrics work across all of our total rewards (base, equity, bonus, perks, and benefit) offerings . The base salary for this role is targeted between $130K - $170K per year. The final offer amount is determined by your proficiencies within this level. Our impact on you:Competitive Pay. Company Ownership. Unlimited Vacation. Benefits Day One. 6 Weeks Paid Parental Leave. Work From Anywhere (yes we were distributed before it was cool). Flexible Work Arrangements. Free Telehealth and Telemental Health For All Employees. Employee Networking and Events. Community Network Groups (women's, PRIDE, culture). Meaningful Perks and Rewards. Learning and Development Opportunities. Pet Insurance. A Naverick's DNA: <ul><li>We look at the future and say "why not"; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.</li><li>We practice straight talk and listen generously to each other with empathy. We value different opinions and point of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.</li><li>We hold ourselves accountable for delivering results. We choose to not to be a victim of circumstance. We make decisions & take responsibility so that we can act & support each other, rather than adopting defensive, and "finger pointing" behaviors.</li><li>As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.</li></ul></div></div></div></div></div></div></div>

Question	Topic	Difficulty	Ask Chance
Business Days	Python & General Programming	Easy	Very High
Commercial Break	Machine Learning	Hard	Very High
Detecting Firearm Sales	Machine Learning	Medium	High

Nav technologies, inc. Machine Learning Engineer Interview Guide

Overview

Nav technologies, inc. Machine Learning Engineer Interview Process

Nav technologies, inc. Machine Learning Engineer Interview Questions

Nav technologies, inc. Machine Learning Engineer Jobs