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Staff Machine Learning Engineer
full-time•Denver•$200k - $280k
About this role
<div class="content-intro"><p>At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.</p>
<p><strong>Angi at a glance:</strong></p>
<ul>
<li>Homeowners have turned to Angi for more than 300 million projects</li>
<li>1,000+ home service tasks covered</li>
<li>2,800 employees worldwide</li>
</ul>
<p><strong>Why join Angi:</strong></p>
<p>Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. </p>
<p>For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you.</p></div><p><strong>About the role</strong></p>
<p>Angi is seeking an exceptional Staff Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This technical leadership position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi’s marketplace problems, demonstrating proficiency in software engineering. Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance.</p>
<p><strong><span data-contrast="none">What you’ll do</span></strong></p>
<ul>
<li><strong>Model Development:</strong> Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions). Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.</li>
<li><strong>Model Deployment and Engineering:</strong> Design and architect robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, optimizing runtime performance of models, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. </li>
<li><strong>Collaboration with Cross-Functional Teams: </strong>Work closely with a strong team of engineers, ml infra team, data scientists and product managers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.</li>
<li><strong>Innovation: </strong>Develop a long-term technical vision; propose a roadmap for team setting clear objections. Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities.</li>
<li><strong>Mentorship:</strong> Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.</li>
</ul>
<p><strong><span data-contrast="none">Who you are</span></strong></p>
<ul>
<li>You hold a Master’s or Ph.D. in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline.</li>
<li>You possess 7+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments.</li>
<li>You are knowledgeable about large-scale distributed application architecture, design, implementation, and performance tuning.</li>
<li>You have the ability to drive the roadmap and direction of scalable, production-quality systems end-to-end, and effectively communicate cross-functionally with Product and Engineering teams.</li>
<li>You have practical knowledge of advanced machine learning algorithms and deep learning to deploy for search systems, information retrieval, and ranking algorithms.</li>
<li>You are proficient in SQL, Python and ML frameworks (such as TensorFlow and PyTorch) with strong coding skills.</li>
<li>You possess excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li>
</ul>
<p><strong>We value diversity</strong></p>
<p>We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.</p>
<p><strong><span data-contrast="auto">Compensation & Benefits</span></strong></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">The salary band for this position range</span>s<strong> </strong>from $200,000 - $280,000<span data-contrast="auto"> commensurate with experience and performance</span><span data-contrast="auto">.</span><span data-contrast="auto"> Compensation may vary based on factors such as cost of living.</span><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">This position will be eligible for a competitive year end performance bonus & equity package.</span><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Full medical, dental, vision package to fit your needs</span><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Flexible vacation policy; work hard and take time when you need it</span><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Pet discount plans & retirement plan with company match (401K)</span><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world</span><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}"> </span></li>
</ul>
<p><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":160,"335559740":259}">#LI-Remote</span></p>
What you'll do
- Lead the development of advanced machine learning models to improve marketplace algorithms and ensure their seamless deployment and scalability. Collaborate with cross-functional teams to integrate data-driven solutions into products and services.
About Angi
Angi helps homeowners get home projects done well and helps home service professionals grow their businesses. Homeowners have turned to Angi and our vast network of skilled home pros for help with more than 300 million projects.
Ready to join Angi?
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Frequently Asked Questions
What does Angi pay for a Staff Machine Learning Engineer?
Angi offers a competitive compensation package for the Staff Machine Learning Engineer role. The salary range is USD 200k - 280k per year. Apply through Clera to learn more about the full compensation details.
What does a Staff Machine Learning Engineer do at Angi?
As a Staff Machine Learning Engineer at Angi, you will: lead the development of advanced machine learning models to improve marketplace algorithms and ensure their seamless deployment and scalability. Collaborate with cross-functional teams to integrate data-driven solutions into products and services..
Is the Staff Machine Learning Engineer position at Angi remote?
The Staff Machine Learning Engineer position at Angi is based in Denver, Colorado, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Staff Machine Learning Engineer position at Angi?
You can apply for the Staff Machine Learning Engineer position at Angidirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.