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Software Engineer, Generative AI

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Tinder

3mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Palo Alto
  • Quick Apply

AI generated summary

  • You must have a PhD in a quantitative field, experience with LLM/multimodal Generative AI, and proficiency in deep learning frameworks and programming languages like Python or Java.
  • You will research Generative AI, develop prototypes and features, handle large data sets, and collaborate with teams to integrate ML models, enhancing user experience and achieving business goals.

Requirements

  • PhD in machine learning, computer science, statistics, or another highly quantitative field
  • In-depth research and experiences on LLM and multimodal Generative AI models
  • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc
  • Proficiency in Python, Java, Scala, or similar programming languages

Responsibilities

  • Conduct applied research of Generative AI, and develop product prototypes.
  • Stay at the forefront of advancements in AI.
  • Develop Generative AI based features in production.
  • Work with big data (handling billions of user swipes per day).
  • Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives.

FAQs

What is the main focus of the Software Engineer, Generative AI role at Tinder?

The main focus of the role is to conduct applied research in Generative AI, develop product prototypes, and create features powered by technologies such as large language models (LLMs) and diffusion models.

Where is this position located?

This position is located in Palo Alto, CA, and requires in-office collaboration two times per week.

What qualifications are required for this position?

A PhD in machine learning, computer science, statistics, or another highly quantitative field is required, along with in-depth research and experience in LLM and multimodal Generative AI models.

What programming languages and frameworks should candidates be proficient in?

Candidates should be proficient in deep learning frameworks such as PyTorch, TensorFlow, Keras, and programming languages including Python, Java, Scala, or similar.

Is experience in handling large datasets necessary for this role?

Yes, experience in handling big data, particularly managing billions of user swipes per day, is necessary for this role.

What is Tinder’s commitment to diversity and inclusion?

Tinder is committed to building a workplace that reflects the rich diversity of its members and values unique perspectives and backgrounds. They celebrate differences and encourage applications from all individuals, regardless of whether they meet all listed qualifications.

What is the salary range for this position?

The salary range for the position is $135,000 - $165,000, influenced by factors such as scope of the position, work experience, education, job-related skills, and market considerations.

How does Tinder support continuous learning and development?

Tinder cultivates a culture of continuous learning where employees are encouraged to take risks, seek input, share honest feedback, celebrate wins, and learn from mistakes.

What kind of team environment can a candidate expect at Tinder?

Candidates can expect to be part of a small, agile team within the Engineering department, where each engineer has a significant impact on projects and the opportunity to contribute to groundbreaking AI-driven products.

Is there any flexibility in the job application process for candidates with different experiences?

Yes, Tinder invites candidates who may not meet all listed qualifications to apply and demonstrate how their skills could transfer to the role.

The world’s most popular app for meeting new people.

Technology
Industry
201-500
Employees
2012
Founded Year

Mission & Purpose

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day and a presence in 190+ countries, our reach is expansive—and rapidly growing.