Product ML Engineer: Ship Real-World AI in SaaS

Promptcube3; Northern (KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health and dental insurance

401k with company match

Flexible time off (PTO)

Paid holidays

Bonding leave

Tuition reimbursement

Teladoc access

Employee assistance program

Job summary

WorkWave is seeking an Applied Data Scientist or ML Engineer to build and scale ML-powered features that directly impact customer decisions and operator workflows. You will own the ML lifecycle from problem definition to production deployment, measurement, and long-term ownership.

You will collaborate with product managers, software engineers, and data teams to embed ML into product workflows, design robust feature pipelines, and implement evaluation to prove business impact.

Qualifications

• 3+ years of applied data science or ML engineering
• Experience shipping models into production for SaaS products
• Strong Python and ML library experience
• Solid SQL and data pipeline skills
• Familiarity with MLOps concepts and cloud platforms

Responsibilities

• Own end-to-end ML capabilities from discovery to production
• Design data/feature pipelines and validate models
• Collaborate with PMs and engineers to embed ML into product workflows
• Prototype-to-production mindset balancing accuracy, latency and business impact
• Define offline/online evaluation strategies and A/B tests

Skills

Python

Scikit-Learn

XGBoost

PyTorch

SQL

ML Ops

Cloud (AWS/GCP/Azure)

Tools

Airflow

dbt

Dagster

Snowflake

BigQuery

Redshift

Databricks

Job description

WorkWave is seeking an Applied Data Scientist or ML Engineer to build and scale ML-powered features that directly impact customer decisions and operator workflows. You will own the ML lifecycle from problem definition to production deployment, measurement, and long-term ownership.

You will collaborate with product managers, software engineers, and data teams to embed ML into product workflows, design robust feature pipelines, and implement evaluation to prove business impact.