Skyrocket Ventures
Sr. to Lead Applied Machine Learning Engineer - LLMs - Consumer Generative AI St
Skyrocket Ventures, San Francisco, California, United States, 94199
Overview
Sr. to Lead Applied Machine Learning Engineer - LLMs - Consumer Generative AI Startup
– Mountain View, CA The company is building a consumer product that involves generative AI. The team includes veterans from Google, Twitter, Coinbase, and top startups. The company is backed by leading investors and is rapidly growing. Compensation: up to $250k salary, plus equity. Responsibilities
Research (about 10-30% of the time): monitor GenAI developments and assess how they may influence the product direction. Design, build, and maintain LLM applications. Own the ML lifecycle, including data analysis and processing, model architecture and training, metrics/evaluation, and MLOps. Convey complex technical information to both LLM experts and non-AI practitioners. Collaborate with product engineers, designers, and data scientists to define and build cutting-edge AI solutions across the company. Qualifications
Expertise in modern LLM architectures and production-ready GenAI applications. Bachelor’s or Master’s in Computer Science, Engineering, Math, or related field. Proven machine learning experience with deployed AI models in real-world applications. Strong understanding of ML algorithms and data structures. Proficiency in Python. Familiarity with PyTorch, TensorFlow, NumPy, and JAX. Excellent communication and presentation skills to articulate design decisions. Strong analytical skills and ability to work independently and in a fast-paced environment. Nice to Have
Authored or co-authored research papers or impactful technical blog posts. Active participation in open-source projects, Kaggle competitions, and similar initiatives. Startup experience. Ph.D. or equivalent experience. About Skyrocket Ventures
Skyrocket Ventures is a recruiting firm for hundreds of high-growth technology companies, from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S. Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general. Most of the jobs we recruit for are not posted online, so if you would like to know of all opportunities we have that match your interests and qualifications, please get in touch with us. After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about interview opportunities. Thank you, and we wish you a great job search!
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Sr. to Lead Applied Machine Learning Engineer - LLMs - Consumer Generative AI Startup
– Mountain View, CA The company is building a consumer product that involves generative AI. The team includes veterans from Google, Twitter, Coinbase, and top startups. The company is backed by leading investors and is rapidly growing. Compensation: up to $250k salary, plus equity. Responsibilities
Research (about 10-30% of the time): monitor GenAI developments and assess how they may influence the product direction. Design, build, and maintain LLM applications. Own the ML lifecycle, including data analysis and processing, model architecture and training, metrics/evaluation, and MLOps. Convey complex technical information to both LLM experts and non-AI practitioners. Collaborate with product engineers, designers, and data scientists to define and build cutting-edge AI solutions across the company. Qualifications
Expertise in modern LLM architectures and production-ready GenAI applications. Bachelor’s or Master’s in Computer Science, Engineering, Math, or related field. Proven machine learning experience with deployed AI models in real-world applications. Strong understanding of ML algorithms and data structures. Proficiency in Python. Familiarity with PyTorch, TensorFlow, NumPy, and JAX. Excellent communication and presentation skills to articulate design decisions. Strong analytical skills and ability to work independently and in a fast-paced environment. Nice to Have
Authored or co-authored research papers or impactful technical blog posts. Active participation in open-source projects, Kaggle competitions, and similar initiatives. Startup experience. Ph.D. or equivalent experience. About Skyrocket Ventures
Skyrocket Ventures is a recruiting firm for hundreds of high-growth technology companies, from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S. Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general. Most of the jobs we recruit for are not posted online, so if you would like to know of all opportunities we have that match your interests and qualifications, please get in touch with us. After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about interview opportunities. Thank you, and we wish you a great job search!
#J-18808-Ljbffr