4 inference jobs at 4 companies in Miami, FL

2mo
Save
Mark Applied
Hide
Applied Scientist
Miami, Florida, United States
$157k-$335k/yr OnsiteFull Time
Opendoor
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
Experience developing quantitative models; Python production-quality coding; causal inference or pricing/forecasting; advanced degree preferred; strong communication and cross-functional collaboration.
Python, Pyspark, Statistical Modeling, Optimization
1mo
Save
Mark Applied
Hide
Senior Data Scientist, Sales & Guest Intelligence
Fort Lauderdale or Valletta
HybridFull Time
The Ritz-Carlton Yacht Collection
The Ritz-Carlton Yacht Collection: Operates ultra-luxury yachts providing high-end global cruise experiences.
5+ YOE5+ years data science experience; bachelor's in a quantitative field (master/PhD preferred) and/or equivalent experience; strong Python and SQL proficiency; experience with ML, experimentation/causal inference, segmentation, model governance; stakeholder communication.
Python, Pandas, NumPy, scikit-learn, SQL, Salesforce, Snowflake, Sigma Computing, Spark, Databricks
1mo
Save
Mark Applied
Hide
Principal Machine Learning Engineer
Miami or United States or Europe
RemoteFull Time
Acclaim
Acclaim: Enterprise voice-first AI platform for automated customer experience.
5+ YOE5+ years in Speech AI with a focus on TTS/voice generation, hands-on TTS training and fine-tuning, production ML deployment experience, strong ML background, coding and engineering skills, and knowledge of inference, latency, scaling, and monitoring.
TTS, LLM, Diffusion models, Computer Vision, Speech Technologies, Natural Language Understanding
1mo
Save
Mark Applied
Hide
Senior Product Data Scientist
Montreal or Toronto or Raleigh or Miami or San Francisco
HybridFull Time
MaintainX
MaintainX: Provides mobile-first software for maintenance and asset management.
5+ YOE5+ years experience, hands-on product experimentation (A/B testing, causal inference), Python with scikit-learn and MLflow, experience building ML models, B2B/B2C SaaS background, strong cross-functional communication and executive presence.
Python, scikit-learn, MLflow, Databricks, Amplitude