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 a Software Engineer with AI/Machine Learning experience 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
4+ years of relevant experience delivering production-level AI or Machine Learning solutions
Experience in data science or ML engineering, ideally involving large unstructured datasets.
Strong in Python, especially with Pandas and NumPy, or strong in another language but willing to learn/work in Python.
Knowledge of statistics, i.e., hypothesis testing, regression, time series analysis, and experiment design.
Experience building data pipelines with tools like Airflow or Prefect.

Pluses (Good to Have, but 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 cloud platforms like BigQuery, GCS, or Snowflake.
Experience with backend

INCENTIVES & BENEFITS:

To $220K Base Salary
Generous (0.3% - 0.8%) Pre-IPO Equity
Medical, Dental, Vision, etc.
Unlimited PTO
Hybrid Office/Home Schedule
H1-B Transfer and Canadian TN Visa Sponsorship

For a list of all our openings, please visit www.gygaforce.com.

Gyga Force jobs

Machine Learning Engineer

Never Miss a New Opportunity