Technical Staff Member

Sciemo

Founding Member of Technical Staff at Sciemo, building AI products for consumer brands. Collaborate with engineers and product leads to deliver AI systems that impact businesses.

Posted 7/15/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $150,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying ML/GenAI products on cloud infrastructure, with a focus on building scalable and efficient AI workflows. Proficient in leveraging core ML tools and orchestrating complex AI systems to deliver measurable business impact.

Highest-signal resume keywords

ML Product DeploymentPython ProgrammingML Orchestration FrameworksAI Workflow DesignCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceData IngestionFeature EngineeringModel EvaluationModel DeploymentProduction-Grade PythonLarge-Scale ML SystemsGraph-Based ModelsSQL

Soft Skills

Problem-SolvingAdaptabilityCommunication

Tools & Technologies

AWSPyTorchTensorFlowKerasScikit-learnSparkAirflowKedroZenMLDbt

Industry Keywords

AI SolutionsContinuous LearningPerformance MonitoringResponsible AIBusiness ROI

Tech Stack

Tools & technologies

AirflowAWSCloudKerasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Offers Equity
25% discretionary performance bonus, paid quarterly