Sr. Software Engineer, Machine Learning

$180,000 - $220,000/Yr

Tinder - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

Food Services and Drinking Places

About the position

The Sr. Software Engineer, Machine Learning role at Tinder focuses on developing and optimizing machine learning algorithms for recommendations that enhance user experience and drive business metrics. This position offers the opportunity to work on high-impact projects within a collaborative team environment, leveraging state-of-the-art techniques in a high-scale tech company.

Responsibilities

• Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance foundational recommendation models.
• Leverage expertise to deliver highly personalized and curated recommendations tailored to users' preferences.
• Develop algorithms that optimize the complex ecosystem to meet multiple disparate objectives.
• Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark.
• Work with big data (handling 1.6B+ user swipes per day) to improve the accuracy and relevance of recommendations.
• Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into systems, improving user experience and driving business objectives.

Requirements

• PhD or MS in machine learning, computer science, statistics, or another highly quantitative field.
• Hands-on experience in designing and building large-scale recommendation systems.
• In-depth knowledge of deep neural networks, particularly in the recommendations domain.
• Proficiency in deep learning frameworks such as TensorFlow, Keras, etc.
• Proficiency in Python, Java, Scala, or similar programming languages.
• At least 5 years of professional experience in relevant fields.

Nice-to-haves

• Experience with causal inference and reinforcement learning.
• Experience with solving machine learning problems in multi-sided marketplaces.
• Experience with big data frameworks such as Spark.
• Demonstrable experience in designing and implementing large-scale ML systems with low latency serving.
• A strong record of publications in top conferences such as NeurIPS, ICML, and KDD.
• A deep understanding of the scientific theory behind machine learning techniques.

Benefits

• Unlimited PTO (with no waiting period), 10 annual Wellness Days
• Time off to volunteer and charitable donations matched up to $15,000 annually
• Comprehensive health, vision, and dental coverage
• 100% 401(k) employer match up to 10%
• Employee Stock Purchase Plan (ESPP)
• 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork
• Investment in your development: mentorship through MentorMatch, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for professional development
• Investment in your wellness: access to mental health support, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
• Free subscription to Tinder Gold