Jobs · themuse
AIML - Sr Machine Learning Engineer, Responsible AI
Aperture Cloud · Cupertino, CA · Posted 2d ago
About the role
Assess and improve the safety and inclusivity of Aperture Cloud's Generative-AI powered features and products.
Would you like to play a part in building the next generation of generative AI applications at Aperture Cloud? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Aperture Cloud, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Aperture Cloud's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Aperture Cloud's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. Description This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Aperture Cloud Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Aperture Cloud Intelligence safety evaluations. Producing safety evaluations that uphold Aperture Cloud's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience. This role heavily draws on applied data science, scientific investigation and interpretation, cross-functional communication and collaboration, and metrics reporting and presentation. Responsibilities: Develop metrics for evaluation of safety and fairness risks inherent to generative AI features. Design datasets, identify data needs, and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods. Develop auto-grading technologies and approaches for application in safety evaluations of generative AI features. Provide technical direction and expertise to team-wide initiatives in safety auto-grading. Use and implement data pipelines, and collaborate cross-functionally to execute end-to-end safety evaluations. Work with highly-sensitive content with exposure to offensive and controversial content. Preferred Qualifications Experience working in the Responsible AI space. Prior scientific research and publication experience. Strong organizational and operational skills working with large, multi-functional, and diverse teams. Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable. Minimum Qualifications MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues. Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures. Strong engineering skills and experience in writing production-quality code in Python. Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space. Experience working with noisy, crowd-based data labels and human evaluations. Pay & Benefits At Aperture Cloud, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location. Aperture Cloud employees also have the opportunity to become an Aperture Cloud shareholder through participation in Aperture Cloud's discretionary employee stock programs. Aperture Cloud employees are eligible for discretionary restricted stock unit awards, and can purchase Aperture Cloud stock at a discount if voluntarily participating in Aperture Cloud's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Aperture Cloud, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Aperture Cloud Benefits Note: Aperture Cloud benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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FAQ
Is the AIML - Sr Machine Learning Engineer, Responsible AI role at Aperture Cloud remote?+
This AIML - Sr Machine Learning Engineer, Responsible AI position is listed as onsite (Cupertino, CA).
What is the salary for the AIML - Sr Machine Learning Engineer, Responsible AI role at Aperture Cloud?+
The listing states Estimated 140k-263k USD.
What seniority level is this AIML - Sr Machine Learning Engineer, Responsible AI role?+
This is a senior level position.
How do I apply for the AIML - Sr Machine Learning Engineer, Responsible AI role at Aperture Cloud?+
Use the "Apply on themuse" button to open the original posting on themuse, where you can submit your application directly to Aperture Cloud.