20 beste Stellen als machine learning engineer in bayern – aktuell auf Personalsuche

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machine learning engineer jobs near bayern

Senior Data Scientist - Dispatch (d/f/m)

Flexa -
München

Direkt bewerben

Details zur Stelle

Vollzeit
95.000 € – 115.000 € pro Jahr

Leistungen

Firmenevents

Qualifikationen

CI/CD
Forschungserfahrung
AWS
Machine Learning
Produktmanagement
Python

Vollständige Stellenbeschreibung

Short Facts

Location: Munich, Germany
Employment Type: Full-Time, indefinite term
Salary Range: € 95.000 - 115.000 per year gross depending on the seniority level
Office First work setup
Language Requirement: C1 Level English

Your Responsibilities

Research and develop algorithms that optimize utilization in the Virtual Power Plant through smarter aggregation, disaggregation, and dispatch
Model, implement, and iterate on real-time dispatch optimization and control problems for Flexa's residential battery portfolio
Design and run experiments to evaluate dispatch policies and attribute outcomes against forecasts and market behaviour
Take models from research into reliable production: implement, deliver, and monitor well-engineered, data-driven solutions in our real-time systems on AWS
Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback
Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem

Your Profile

Mandatory Requirements

University degree in a data-driven or analytical field (Operations Research, Applied Mathematics, Computer Science, Physics, Energy Engineering, or similar quantitative discipline)
5+ years industry experience in applied data science
Mathematical optimization / OR experience. Hands-on with LP/MILP and MPC-style receding-horizon methods
Strong analytics and experimentation discipline — designing experiments and analysing results carefully, including counterfactual and regret reasoning
Energy domain background — markets, batteries, grid; understanding how the physical asset, the market, and the grid interact
Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design
Proven track record of taking models from research into reliable production on AWS (or comparable cloud)
Excellent English communication and interpersonal skills
Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders
Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential.

Skills to Set You Apart

Direct experience optimizing battery dispatch, demand response, or aggregated DER portfolios
Hardware or embedded experience, and comfort with real-time / low-latency systems
General machine learning experience — supervised learning, model evaluation, and knowing when ML is (and isn't) the right tool alongside optimization
Control background — MPC, receding-horizon control, or state-space methods for time-coupled decision-making

At Flexa, we are committed to diversity — of backgrounds and experiences. You don’t need 100% of the listed requirements to apply.

Benefits

Virtual Share Options: We offer virtual share options to all our employees
Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc
Health & Sport Subsidy: Company subsidised sports facilities membership or
Public Transportation Subsidy: Monthly subsidy for your public transport ticket
Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
Work Equipment: MacBook, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools available
Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.

A Short Note from Your Future Lead

Sébastien Schikora - Chief Technology Officer

Hi there!

I'm Sebastien Schikora, serving as the CTO at Flexa since the beginning. My diverse career journey has provided me with a range of experiences with a deep dive in the energy industry and the functioning of the grid specifically. In the last years, I was:

CTO at KONUX from September 2018 to April 2022, where I played a pivotal role in shaping the company's tech landscape and products.
Sr. Manager at Tesla from November 2015 to July 2018, leading the development of energy storage systems and mobile apps.
Vice President of Product Development at Networked Energy Services (NES) Corporation from October 2014 to November 2015, launching a new company and product line in the grid digitalization space.
At Echelon Corporation, I held various roles over six years, including Director of Product Management and Development in the Grid Modernization Division.
Before my endeavors in the Energy Industry I was working for Hewlett Packard in the Enterprise Software group for a little over 10 years.

I'm all about pushing the boundaries of technology and driving progress in our industry. I spent the majority of my career in the Silicon Valley in California and apply a lot of the methods and drive to my workplace here in Munich.

Our team is the basis of our success, and I'm dedicated to fostering a collaborative, innovative and goal driven work environment.

If you're ready to be a part of our international crew and share our vision for groundbreaking tech solutions, I encourage you to explore opportunities within our organization.

Thanks for considering joining us, and I look forward to the possibility of working together to achieve remarkable things.

Best regards,
Sebastien Schikora

Über uns

Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future.

The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home.

Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Flexa’s solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Flexa maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in bayern

Senior Data Scientist - Dispatch (d/f/m)

Data Scientist / Data Engineer (m/w/d)

Software Engineer, Data Platform

Senior Quantitative Developer - Energy Trading (d/f/m)

Senior Data Scientist - Trading (d/f/m)

Staff Data Scientist - Trading (d/f/m)

Senior Applied AI / ML Data Engineer (f/m/x)

Computer Vision & AI Engineer - Interceptor C‑UAS (m/f/d)

Senior AI/ML Engineer (F/M/D)

AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing

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Working Student – Battery Science and Data (f/m/d)

KI Prompt Engineer/AI Consultant (m/w/d) – 100% remote

Intern Enterprise AI Team

AI Internship / Working Student

Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in bayern erhalten

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A Short Note from Your Future Lead

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