Full-Time

Senior ML Engineer

Growth

Updated on 12/6/2024

Match Group

Match Group

1,001-5,000 employees

Provides online dating and social discovery

Consumer Software
Social Impact

Compensation Overview

$204k - $245kAnnually

Senior

New York, NY, USA

Hybrid position based in New York, requiring in-office presence.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Airflow
Java
AWS
C/C++
Google Cloud Platform
Requirements
  • Proficiency in languages like Python, Java, or C++
  • Domain expertise: Deep understanding of machine learning model architectures, DNN experience a big plus. Proven track record of building, debugging, and fine-tuning machine learning models for user facing products.
  • System design & architecture: Experience training and deploying large scale ML models especially DNNs. Good understanding of distributed computing for learning and inference.
  • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with Ray, KubeFlow, or Weights & Biases is a plus.
  • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow.
  • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.
  • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation
  • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.
  • 4+ years of experience as an MLE, previous experience in User Growth or Monetization is preferred.
  • 2+ years of experience working on a cloud environment such as GCP, AWS, or Azure.
  • 2+ years of experience designing and developing online and production grade ML systems.
  • A degree in computer science, engineering, or a related field, or equivalent experience.
Responsibilities
  • Develop and deploy targeting and timing models that underlie a smart notifications system that guides and influences user behavior to improve dating outcomes.
  • Improve user engagement with notifications by optimizing for relevancy and personalizing for responsiveness.
  • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters.
  • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space.
  • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data.
  • Communicate effectively to audiences of various technical and non-technical backgrounds.

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Company Stage

IPO

Total Funding

$400M

Headquarters

Dallas, Texas

Founded

1986

Simplify Jobs

Simplify's Take

What believers are saying

  • Starboard Value's 6.6% stake acquisition boosts investor confidence and stock value.
  • AI-driven matchmaking algorithms enhance user experience and engagement.
  • Growing demand for niche dating platforms supports Match Group's diverse brand portfolio.

What critics are saying

  • Increased competition from AI-driven dating apps may draw users away.
  • Privacy concerns and data breaches could impact user trust and reputation.
  • Free dating apps with innovative features may pressure Match Group's pricing models.

What makes Match Group unique

  • Match Group offers nearly 50 brands catering to diverse dating communities.
  • The company operates globally, available in over 200 countries and 40 languages.
  • Match Group combines subscription, transaction, and advertising revenue models.

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Benefits

Medical/Dental/Vision Insurance

Charitable Matching Program

Retirement Matching Funds

Training and Education Allowance

Performance Bonuses

Mental Health Counseling