Staff Machine Learning Engineer

New York, New York, United States

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Home Services, Online MarketplaceIndustries

Requirements

Candidates must possess a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics. A minimum of 7 years of experience in data science and machine learning, with a focus on real-time ML models, preferably in tech or marketplace environments, is required. Expertise in machine learning and deep learning, including a good working knowledge of large language models, is essential. Proven experience deploying impactful machine learning models into production, proficiency in SQL and Python, and experience with cloud ML solutions are necessary. Excellent communication skills to explain complex technical concepts to non-technical audiences are also required.

Responsibilities

The Staff Machine Learning Engineer will lead the development of machine learning models and algorithms to enhance search ranking and consumer-to-pro matching, impacting user experience, engagement, retention, and conversion rates. They will implement robust MLOps practices for seamless deployment and scalability of models, automating training, versioning, monitoring, and deployment. This role involves close collaboration with cross-functional teams, including engineers, data scientists, product managers, and designers, throughout the end-to-end development process. The engineer will also foster innovation, explore new techniques, and mentor junior team members to promote continuous learning and technical excellence in advanced machine learning.

Skills

Machine Learning

LLMs

Neural Rankers

Data Strategy

Model Development

Search Ranking

Predictive Modeling

Large Scale Deployment

Low Latency Systems

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.

Land your dream remote job 3x faster with AI

Try Jobo Free