Hybrid Technical Staff Member

at Sciemo

• Job title: Technical Staff Member
• Job type: Full Time
• Experience level: Lead
• Salary: $150,000 - $300,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cloud, Keras, Python, PyTorch, Scikit-Learn, Spark, SQL, Tensorflow
• Location requirements: Hybrid, New York City, United States

About the role

• Founding Member of Technical Staff developing AI solutions for consumer goods. Collaborating with various teams to design and deploy innovative AI systems.

Responsibilities

• Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or similar).
• Design and implement end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.
• Create automated pipelines for continuous learning, model promotion, and performance monitoring.
• Lead the design of ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and scalability.
• Oversee deployment of large-scale and multi-agent AI systems with high reliability and fault tolerance.
• Continuously optimize workflows for efficiency, robustness, and performance in production.
• Translate complex business problems into AI solutions, including data collection, experiment design, and roadmap planning.
• Develop interpretable, modular, and scalable ML systems that deliver measurable business value.
• Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact.
• Stay current with advancements in AI/ML, including LLMs, diffusion models, graph AI, and agent architectures.
• Propose and prototype new approaches for integrating emerging technologies into production products.
• Develop methods to quantify and communicate AI performance and business ROI.
• Promote responsible, ethical, and impactful AI practices across the organization.

Requirements

• Proven track record of launching AI/ML products into production.
• Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit-learn, SQL, Spark.
• Experience writing production-grade Python (object- and function-oriented).
• Hands-on expertise with large-scale ML systems, GenAI (LLMs, diffusion), agents, and graph-based models.
• Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.).
• Strong problem-solving skills, adaptability, and a “hacker” mentality.
• Excellent communication skills—able to work with both technical and non-technical stakeholders.
• Demonstrated thought leadership and innovation in applied AI.

Benefits

• Offers Equity
• 25% discretionary performance bonus, paid quarterly