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

Summary reputed company engineering culture is driven by our values we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. reputed company new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re reputed company about helping our users, growing as engineers, and having fun in a collaborative environment. 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. Closing At reputed company, we reputed company that diversity is an expression of reputed company the unique characteristics that reputed company us human race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.” We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national reputed company, reputed company, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). Where required by law, a criminal background reputed company will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background reputed company will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@reputed company.com or 415-969-8488. Note reputed company does not accept agency resumes. Please do not reputed company resumes to any recruiting alias or employee. reputed company is not responsible for any fees reputed company to unsolicited resumes. #LI-Remote Recruiting and Applicant Privacy Notice Apply To This Job

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