Get AI-powered advice on this job and more exclusive features. Our client, located in San Francisco's SoMa district, is a well-funded Series B startup with around 25 employees and rapidly growing. They are an AI-first social media management platform helping brands turn followers into loyal, paying customers. Recently securing an additional $8M in funding, they are accelerating growth and product innovation and expanding into advanced image and video generation capabilities. They have an opening for an AI/Machine Learning Engineer to help drive development of their next-generation generative AI features. RESPONSIBILITIES : Build and maintain pipelines to collect and process multimodal social media data at scale. Develop generative and vision models optimized for engagement and brand impact. Work with cross-functional teams to deliver AI features that analyze sentiment, objects, and audio signals. Automate data cleaning, enrichment, and validation to ensure dataset quality. Surface KPIs and trends using statistical analysis, dashboards, and SocialGPT insights. Implement semantic search (e.g., FAISS, Pinecone) and RAG systems for media generation. Drive experimentation with new generative AI architectures and help shape the AI roadmap. Lead data and ML projects from concept to production in a fast-paced startup setting. QUALIFICATIONS: Required: B.S. or higher in Computer Science or a related field from a reputable institution. 5+ years of relevant experience delivering production-level ML or data systems. Solid experience in data science or ML engineering, ideally involving large unstructured datasets. Strong grasp of statistics—hypothesis testing, regression, time series analysis, and experiment design. Proficient in Python, especially with Pandas and NumPy for data work. Experience building data pipelines with tools like Airflow or Prefect. Pluses (Not Critical): Familiarity with semantic search (e.g., FAISS, Pinecone) and RAG pipelines. Experience with multimodal models (text, image, audio) using frameworks like Hugging Face or OpenAI. Exposure to social media APIs. Experience with large unstructured datasets. Experience with cloud platforms like BigQuery, GCS, or Snowflake. INCENTIVES & BENEFITS: Generous (0.3% - 0.8%) Pre-IPO Equity Unlimited PTO Hybrid Schedule For a list of all our openings, please visit www.gygaforce.com. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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