<h3><a href="https://www.mapbox.com/" target="_blank"><img style="display: block; margin-left: auto; margin-right: auto;" src="https://static-assets.mapbox.com/www/logos/mapbox-icon_black.svg" alt="" width="50" height="50"></a></h3>
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 3.9 million registered developers have chosen Mapbox because of the platform’s flexibility, security, and privacy compliance. Organizations use Mapbox applications, data, SDKs, and APIs to create customized and immersive experiences that delight their customers.
 
<h2>What We Do</h2>
On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) products family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost and performance assessments.
<h2>What You'll Do</h2>
<ul>
<li>Lead the research and development of state-of-the-art computer vision and geospatial models for our high-precision maps.</li>
<li>Design and manage datasets for training and testing our models in collaboration with the internal labeling team.</li>
<li>Implement machine learning models that are efficient, scalable, and capable of handling highload in production.</li>
<li>Collaborate with cross-functional partners to ensure that our machine learning features align with customer needs and market trends.</li>
</ul>
<h2>What We Believe are Important Traits for This Role</h2>
<ul>
<li>Extensive experience developing and optimizing deep learning algorithms for image segmentation, object detection, and pattern recognition.</li>
<li>Strong programming skills in Python and familiarity with libraries such as OpenCV, PyTorch.</li>
<li>Experience deploying and scaling systems with cloud providers such as AWS.</li>
<li>Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li>
</ul>
 
<h2>Preferred Qualifications</h2>
<ul>
<li>Prior experience in the mapping, navigation, or automotive industry.</li>
<li>Understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, etc.).</li>
<li>Experience with distributed processing pipelines (Hadoop, Spark, Airflow, Dask).</li>
</ul>
<h2>What We Value</h2>
In addition to <a href="https://www.mapbox.com/about/values/" target="_blank" data-target-href="https://www.mapbox.com/about/values/">our core values</a>, which are not unique to this position and are necessary for Mapbox leaders:
<ul class="listtype-bullet listindent1 list-bullet1">
<li>We value high-performing creative individuals who dig into problems and opportunities.</li>
<li>We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.</li>
<li>We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.</li>
<li>We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.</li>
</ul>
By applying for this position, you acknowledge that you have received the<a class="c-link" href="https://www.mapbox.com/applicant-privacy-notice/" target="_blank" data-stringify-link="https://www.mapbox.com/applicant-privacy-notice/" data-sk="tooltip_parent"> Mapbox Non-US Privacy Notice</a> for applicants, which is linked<a class="c-link" href="https://www.mapbox.com/applicant-privacy-notice/" target="_blank" data-stringify-link="https://www.mapbox.com/applicant-privacy-notice/" data-sk="tooltip_parent"> here</a>. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
Mapbox is an EEO Employer - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity
 #LI-Remote

<div class="content-intro"><a href="https://www.liftoff.io/">Liftoff</a> is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. 
Liftoff’s solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.</div>As a Machine Learning Engineer at Liftoff, you will:
<ul>
<li>
Own ML models are a part of a production decision-making system that has direct business impact. You will own a part of this system end-to-end, which includes state-of-art ML models and related engineering systems.
</li>
<li>
Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
</li>
<li>
Be a mentoring coach for team members and engineers from other teams.
</li>
<li>
Monitor latest ML research for practical ideas that the team could try.
</li>
<li>
Influence the roadmap for your team and potentially other teams.
</li>
</ul>
Requirements: 
<ul>
<li>
8+ years of industry experience applying Machine Learning (including neural networks) to large scale problems.
</li>
<li>
Very strong engineering and coding skills.
</li>
<li>
Experience with Recommendation Systems 
</li>
<li>
Track record of strong execution and timely delivery of projects.
</li>
<li>
Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
</li>
<li>
B.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus.
</li>
<li>
Experience with AdTech is a strong plus.
</li>
</ul>
Location:
This role eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MN, MO, NC, NJ, NV, OR, PA, RI, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and NYC.
Compensation: 
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on candidate location and experience. The following are our base salary ranges for this role: 
SF Bay Area, NYC, Los Angeles/Orange County: $230,000 - $250,000 Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $210,000 - $230,000 All other cities and towns in our approved states: $195,000 - $215,000
Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join the rocket ship and help shape the future of the mobile app ecosystem with us! 
 
#LI-VM1
#LI-Remote
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using <a href="https://getcovey.com/scout">Covey Scout for Inbound</a> on January 22, 2024.
Please see the independent bias audit report covering our use of Covey <a href="https://getcovey.com/nyc-local-law-144">here</a>.<div class="content-conclusion">Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance. All such discrimination and harassment is unlawful and will not be tolerated. Liftoff maintains a continued commitment to equal employment opportunity and expects the full cooperation of all personnel.
 
Agency and Third Party Recruiter Notice:
Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.</div>

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