3 дня назад
Machine Learning Engineer (AI)
220 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI) (Growth Marketing): Building ML systems for lead scoring, conversion prediction, campaign optimization, and demand generation with an accent on behavioral analytics, personalized outreach, and measurable growth impact. Focus on designing data pipelines, integrating CRM and advertising platforms, and applying LLMs, recommender systems, and generative AI to marketing workflows.
Location: Fully on-site in Mountain View, California, US
Base salary: $220,000–$300,000 USD annually
Company
is a fast-growing AI/ML data and services company working with leading frontier AI labs.
What you will do
- Build ML models for lead scoring, conversion prediction, and campaign performance optimization.
- Automate demand generation workflows, including audience segmentation and personalized outreach.
- Design and maintain data pipelines for behavioral analytics, targeting, and A/B experimentation.
- Partner with marketing and product teams to translate growth goals into measurable ML solutions.
- Experiment with LLMs, recommender systems, and generative AI for content creation and outreach.
- Establish data-driven frameworks for channel optimization and ROI tracking.
Requirements
- 3–10 years of hands-on ML engineering experience in demand generation, growth marketing, or data-driven marketing.
- Strong Python skills and practical experience with PyTorch and/or TensorFlow for building and deploying models.
- Experience integrating marketing and CRM platforms such as HubSpot or Salesforce into ML workflows.
- Familiarity with advertising APIs such as Google Ads API or Meta Ads API.
- Hands-on experience with LLMs, recommender systems, and generative AI techniques.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
Culture & Benefits
- Founding-level role with direct impact on user acquisition, lead conversion, and company growth.
- Cross-functional collaboration with marketing and product teams.
- Visa sponsorship is available.
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