Airbnb

2 months ago

Machine Learning Engineer, Relevance and Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead end-to-end ranking and personalization initiatives by building scalable ML models on large-scale data, collaborating with software engineers, product managers, and data scientists, and shipping real-time and batch pipelines to optimize search and recommendations across the Airbnb platform.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
•Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
•Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
•Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Pay and Benefits

Salary: USD 157,000 - 185,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a MS or BS degree.
•Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
•Deep understanding of Machine Learning best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. NLP, CV, personalization, search and recommendation, marketplace optimization, anomaly detection).
•Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
•Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).

Experience:AI/MLRecommendationSearchBig dataScaling

Languages:English

Tech Stack:ScalaPythonJavaC++TensorFlowPyTorchKubernetesSparkAirflowKafkaHive

Company Brief

Airbnb

Online marketplace that connects travelers with hosts offering short-term lodging, experiences, and long-term stays. Facilitates booking, payments, and reviews while providing tools for hosts to manage listings globally.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn

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Airbnb

2 months ago

Machine Learning Engineer, Relevance and Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
•Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
•Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
•Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Pay and Benefits

Salary: USD 157,000 - 185,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a MS or BS degree.
•Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
•Deep understanding of Machine Learning best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. NLP, CV, personalization, search and recommendation, marketplace optimization, anomaly detection).
•Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
•Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).

Experience:AI/MLRecommendationSearchBig dataScaling

Languages:English

Tech Stack:ScalaPythonJavaC++TensorFlowPyTorchKubernetesSparkAirflowKafkaHive

Company Brief

Airbnb

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn