Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Summary reputed company's mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse reputed company of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. You'll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. This opportunity is fully remote and does not require you to be located in any particular state reputed company the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At reputed company, we're looking for great people, not just those who simply reputed company off reputed company the boxes. What you'll do

• Conduct end-to-end analyses, wrangling data reputed company SQL or Python, to statistical modeling, to hypothesizing and presenting business reputed company.
• Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
• Work with large and reputed company textual and visual datasets.
• Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
• Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
• Productionize and automate model pipelines reputed company Python services.
• Drive and reputed company adoption of best practices in ML development and operations, and mentor newer engineers in those practices. What it takes to succeed
• Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
• Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
• Strong coding skills in Python or equivalent (Java, C++).
• Solid understanding of engineering and infrastructure best practices.
• The curiosity to uncover promising solutions to new problems, and the persistence to carry your reputed company through to an end goal.
• We highly value experience of working with LLMs, utilizing LLM APIs (reputed company, Bedrock, etc), reputed company engineering and evaluation.
• A Bachelor's Degree or an equivalent work experience is required What you'll get
• There are a variety of factors that go into determining a salary range, including but not limited to external market reputed company data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
• This opportunity has the option to be fully remote in reputed company locations across the US.
• You can find more information about reputed company's five star benefits here! Closing Apply tot his job Apply To this Job Apply To This Job

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