Published: Tue, 29 Oct 2024 08:50:52 GMT
Job Title: Machine Learning Engineer, Search
Position Description:
We are seeking a highly skilled and experienced Machine Learning Engineer to join our team and help shape the future direction of our organization. In this role, you will be at the forefront of leveraging the latest advancements in AI/ML to push the boundaries of what is possible. You will work closely with cross-functional teams to tackle audacious challenges and make a direct impact on millions of users.
As an integral part of our product organization, you will join a team of top-tier Machine Learning Engineers to design, build, evaluate, deploy, and iterate on large-scale Machine Learning systems. You will work with product, design, infrastructure, and frontend teams to bring your models and features to life and ensure their performance aligns with our business objectives.
Key Responsibilities:
– Design, build, evaluate, deploy, and iterate on large-scale Machine Learning systems
– Understand the Machine Learning stack at our organization and build systems to personalize the user experience
– Collaborate with cross-functional teams to bring models and features to life
– Work with large-scale data systems and infrastructure
– Evaluate the performance of Machine Learning systems against business objectives and productionize successful models
– Participate in on-call rotations for teams that run services, including being available during core and non-core business hours
Requirements:
– Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience
– 5+ years of engineering experience with at least 3 years of experience in building Machine Learning or AI systems
– Strong industry experience working with large-scale data
– Strong analytical and problem-solving skills
– Familiarity with search-related applications of Large Language Models
– Proven software engineering skills in multiple languages, including Python, Go, and C/C++
– Experience with Machine Learning software tools and libraries, such as PyTorch, HuggingFace, TensorFlow, Keras, and scikit-learn
Preferred Qualifications:
– Ph.D. in Computer Science or related field with research in Machine Learning
– Experience in one or more of the following areas: natural language processing, deep learning, Bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semi-structured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, or Machine Learning on edge devices
Compensation:
– US Zone 1: $204,000 – $276,000 USD
– US Zone 2: $183,500 – $248,400 USD
– US Zone 3: $163,000 – $220,800 USD
To learn more about our Engineering Career Framework and what’s expected for our engineers at each career level, please visit our blog. For more information about on-call rotations, please inquire with the hiring team.
Thank you for your interest in joining our team. We are excited to review your application and look forward to potentially working with you in the future. Apply link
