11 часов назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Building and deploying large-scale machine learning models, AI agents, conversational interfaces, and generative AI systems for marketing and customer experiences with an accent on deep learning, recommender systems, language modeling, and production ML. Focus on training distributed models, fine-tuning transformer-based systems, defining success metrics, analyzing A/B tests, and maintaining customer-facing models long term.
Location: Palo Alto, California, United States; onsite five days per week
Company
provides first-party data infrastructure and software for personalized ecommerce marketing and customer experiences.
What you will do
- Train and deploy large-scale machine learning models in production to improve customer outcomes.
- Build AI engines and agents that create and execute marketing experiences, strategies, and campaigns.
- Introduce conversational AI interfaces into the product.
- Develop generative AI models that create marketing content from customer context.
- Collaborate with Engineering, Product, Design, stakeholders, and customers to solve complex problems.
- Lead experimentation and product development in a high-impact environment.
Requirements
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI, machine learning, or related fields.
- Track record of leading large-scale AI or machine learning projects launched in products with significant user or customer impact.
- Experience with Hugging Face, PyTorch, TensorFlow, Keras, and distributed training with Spark or Ray.
- Experience taking models into production, maintaining them long term, and owning the full ML product lifecycle.
- Experience leading technical projects, defining success metrics, designing and analyzing A/B tests, collaborating with product managers, and mentoring others.
Nice to have
- Experience with recommendation systems, retrieval, and ranking systems.
- Experience in B2B businesses and direct customer interaction.
- Experience creating technical roadmaps for complex business problems using machine learning.
- Experience fine-tuning and productionizing transformer-based models and large language models at scale.
Culture & Benefits
- Comprehensive health, welfare, and wellbeing benefits based on eligibility.
- Potential annual cash bonus, equity, and sign-on payments as part of total compensation.
- Up to 10% travel may be required for onboarding, client or partner work, team meetings, and industry events.
- Commitment to responsible AI use, including privacy, security, bias awareness, and human-in-the-loop practices.
- Equal opportunity and accommodations are provided as needed.
Hiring process
- Interview participation requires adherence to ’s AI interview process guidelines.
- Recruiters provide specific compensation details for the preferred location during the hiring process.
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