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

What You'll Do

• Carry out end-to-end analyses, manipulating data via SQL or Python, to statistical modeling, and hypothesizing and presenting business ideas.
• Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
• 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 within Python services.
• Drive and advocate 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 ideas through to an end goal.
• Experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.

What You'll Get

• A variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience.
• The compensation range for this role is expected 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 all locations across the US.