Company Overview:
At AppLovin, we’re at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team.
Position Overview:
We are looking for a seasoned Machine Learning Engineer with a specialization in ML infrastructure and deep learning architecture. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you’re passionate about pushing the boundaries of machine learning technology, building multi-billion dollar businesses with advanced algorithms, and are excited to work in a dynamic, innovative environment, this is the opportunity you’ve been waiting for.
Responsibilities:
- Deep Learning Architectures: Design, develop, and implement deep learning architectures that drive innovation and improve the performance of our advertising technology. Stay up-to-date with the latest advancements in deep learning research and apply them to real-world applications.
- Advance ML Infrastructure: Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.
- Collaboration: Work closely with our talented team of machine learning engineers, data scientists, and software engineers to integrate your solutions into our platform seamlessly.
- Performance Optimization: Continuously optimize machine learning models and algorithms to improve ad targeting, recommendation systems, and customer insights.
- Research and Development: Stay at the forefront of machine learning research and apply innovative techniques to solve complex challenges in the advertising technology space.
Qualifications:
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proven experience in ML infrastructure design, optimization, and scalability.
- Expertise in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).
- Strong programming skills in Python and proficiency in relevant ML libraries.
- Solid understanding of distributed computing, cloud platforms, and big data technologies.
- Excellent problem-solving abilities and a track record of delivering innovative solutions.
- Strong communication skills and the ability to work collaboratively in a team environment.
What We Offer:
- Competitive compensation package, including top-tier salaries in the industry.
- Free medical, dental, and vision insurance.
- 401k matching and employee stock purchase plan.
- A dynamic and inclusive work environment that encourages creativity and innovation.
- Opportunities for career growth and professional development.
- Access to cutting-edge technology and resources.
- A chance to make a significant impact on the advertising technology landscape.
Join us in pushing the boundaries of machine learning technology and be a part of our mission to connect businesses with their potential customers through advanced ML solutions. If you’re an extraordinary ML engineer looking to contribute to a dynamic, high-impact team, we want to hear from you.
The expected base pay range for this CA based position is $179,000 - $247,000. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.
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