Storm4 · 9 hours ago
Manager of Machine Learning
United States
Full-time
Remote
Senior Level, Lead/Staff
$190K/yr - $250K/yr
6+ years exp
Maximize your interview chancesCleanTechDevOps
Hiring Manager
Oscar Hayes
Insider Connection @Storm4
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Lead the design, development and evolution of our internal forecasting platform
Explore innovative machine learning techniques through creative research, implementing these methods to boost platform performance.
Discover and integrate additional data sources to improve the accuracy and robustness of models.
Build scalable, dependable data pipelines to operationalize and monitor both new and existing models.
Develop a deep understanding of electricity pricing mechanisms and market behaviors.
Produce a variety of electricity market forecasts, including energy and ancillary service prices, load projections, regulation throughput, and reserve deployments, to support downstream systems.
Guide and nurture a team of talented machine learning engineers, shaping them into a leading force in electricity market forecasting.
Partner with optimization specialists, traders, market analysts, and software engineers to maximize the impact of forecasts across the organization.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Advanced proficiency in Python, with at least 6 years of experience in software engineering, including expertise in writing high-quality, production-ready code and working within agile frameworks.
Solid experience with various forecasting methods, such as statistical modeling, regression analysis, and deep learning.
Hands-on experience with cloud technologies and tools like AWS EC2, Google Compute Engine, Kubernetes, Docker, and database solutions such as Amazon RDS and Google BigQuery.
Strong knowledge of Python libraries, including pandas, numpy, xgboost, lightgbm, pytorch, sklearn, plotly, seaborn, and streamlit.
Proven ability to build and maintain machine learning systems in production environments.
A self-motivated, team-oriented approach with a passion for innovation in the clean energy sector.
A degree in Mathematics, Machine Learning, Statistics, or equivalent experience.
Expertise in forecasting, analysis, or trading within electricity markets such as ERCOT, CAISO, PJM, AEMO, or the UK National Grid.
Experience deploying production-ready models in time series forecasting or reinforcement learning.
Familiarity with forecasting frameworks like Nixtla, PyTorch-Forecasting, or Darts.
Company
Storm4
Storm4 is a specialist GreenTech recruitment marketplace, connecting organizations with the senior talent to drive their mission.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$3M2020-11-01Series A· $3M
Leadership Team
Kayleigh Bottomley
VP And Founder
Company data provided by crunchbase
