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335 points whoishiring | 1 comments | | HN request time: 0.358s | source

Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option.

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Who wants to be hired? https://news.ycombinator.com/item?id=42575535

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anandsaha ◴[] No.42580212[source]
Lily AI | Remote, +/- 3hrs PST (US, Canada, South America) | Staff ML Engineer, Staff Software Engineer | https://www.lily.ai

We are a well-funded startup driving the next wave of innovation in product discovery and personalization. Our work spans exciting use cases such as deep product attribution, automated copy generation, streamlined item setup, and enhancing search and recommendation systems, among others. Our team of scientists and engineers specializes in Computer Vision and Natural Language Processing (NLP), tackling a diverse array of challenging and impactful problems. We take pride in leading the industry with the unparalleled depth of our taxonomy.

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Staff ML Engineer

Apply here: https://www.lily.ai/job/?gh_jid=6235560003

As a Staff Machine Learning Engineer, you will play a pivotal role in advancing our ML platform, encompassing data pipelines, training processes, and inference workflows. Collaborating closely with machine learning scientists, engineers, and product managers, you will help shape the ML roadmap, make critical architectural decisions regarding MLOps, and contribute to the company’s overarching AI strategy.

===================

Staff Software Engineer, Platform Engineering

Apply here: https://www.lily.ai/job/?gh_jid=6237871003

As a Staff Software Engineer, you will join a team responsible for developing the core product attributes platform. You will address challenges related to scalability, data integration, and building a high-performance backend infrastructure that powers outstanding user experiences.

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I am the hiring manager, feel free to reach out to me directly at anand AT lily DOT ai.

replies(1): >>42644980 #
1. matheusopp ◴[] No.42644980[source]
Legitimate question: how do you expect an ML Engineer to have 10+ years of experience "building large-scale machine learning solutions and ML Ops practices"? ML in its current form (LLMs and modern vision models) only started being widely applied in companies about 5 to 7 years ago.