Staff Machine Learning Engineer

Denver, Colorado, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Home Services, Marketplace, Software/TechnologyIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Statistics, or a related field, and have at least 5 years of experience in machine learning engineering, demonstrating proficiency in software engineering principles and experience with model deployment and MLOps practices. Strong knowledge of machine learning algorithms, deep learning techniques, and experience with large-scale data processing systems is required, along with the ability to collaborate effectively with cross-functional teams and drive innovation in machine learning solutions.

Responsibilities

As a Staff Machine Learning Engineer, you will lead the development of advanced machine learning and AI models to improve Angi’s marketplace algorithms, specifically focusing on search ranking, recommendation, and matching solutions, which will directly impact user experience and business metrics. You will also be responsible for designing and architecting robust MLOps practices to ensure the seamless deployment and scalability of machine learning models, automating model training, optimizing runtime performance, and collaborating closely with engineers, data scientists, and product managers to build and deploy data-driven solutions into production environments.

Skills

Machine Learning

Model Deployment

MLOps

Software Engineering

Scalability

Low Latency

Model Optimization

Cross-Functional Collaboration

Angi

Sustainability consulting for ESG performance ratings

About Angi

Angi Sustainability focuses on sustainability consulting by providing Environmental, Social, and Governance (ESG) performance ratings and science-based targets for investments. The company collaborates with organizations like the Carbon Disclosure Project and the United Nations Global Compact to help institutional investors and corporations improve their ESG practices. Angi Sustainability stands out by offering both consultancy services and subscription-based analytical tools, allowing clients to measure and enhance their sustainability efforts. The goal is to support clients in making responsible investment decisions and advancing their sustainability initiatives.

Milan, ItalyHeadquarters

2017Year Founded

$225.5MTotal Funding

VENTURE_UNKNOWNCompany Stage

Consulting, Social ImpactIndustries

1,001-5,000Employees

Benefits

Competitive compensation.

This position will be eligible for a competitive year end performance bonus & equity package.

Full medical, dental, vision package to fit your needs

Flexible vacation policy: work hard and take time when you need it

Pet discount plans & retirement plan with company match (401K)

The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

Risks

Increased competition from Thumbtack and TaskRabbit in the home services market.

Consumer shift towards DIY solutions may reduce demand for traditional services.

Potential backlash against ESG ratings could affect Angi Sustainability's credibility.

Differentiation

Angi offers a wide range of vetted home service professionals.

Angi Sustainability provides ESG performance ratings and science-based targets.

Partnerships with organizations like CDP and WWF enhance Angi's credibility.

Upsides

Growing demand for smart home solutions expands Angi's service offerings.

Increased interest in green home improvements aligns with Angi's sustainability focus.

Rising ESG reporting requirements boost demand for Angi Sustainability's services.

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