Full Time
P
Quick Summary
Join Phantasma Labs, a remote-first company revolutionizing factory planning with an AI co-pilot powered by reinforcement learning! This Machine Learning Engineer role offers the chance to build cutting-edge solutions, collaborate with a talented international team, and directly impact real-world production workflows. This is an exciting opportunity to shape the future of manufacturing with innovative AI technology.
Key Responsibilities
- Design, engineer, and optimize features in the digital twin for Reinforcement Learning (RL) simulations using Python, NumPy, and Pandas.
- Create, optimize, and maintain training and evaluation scripts for RL agents, while setting up and maintaining Python environments using modern tools.
- Write robust, scalable, and production-ready Python code, including unit and integration tests.
- Participate in customer calls to understand requirements and translate them into actionable technical features, while brainstorming ideas to improve the RL agent.
Requirements
- 5+ years of Python experience and a background in Computer Engineering/Mathematics/Machine Learning/Industrial Engineering or related field.
- 2+ years of experience in factory shopfloor operations or ERP/MES systems for factories.
- Strong grasp of manufacturing processes across various domains, including discrete manufacturing and engineer-to-order.
- Basic understanding and experience in developing/applying RL algorithms.
Benefits
- Ownership from day one with fast feedback and visible results in a small team.
- Collaborate with a strong team of ML specialists and experienced software engineers.
- Flexible working hours & hybrid setup: work remotely or from a co-working space in Berlin.
Required Skills
Python
Reinforcement Learning
NumPy
Pandas
Git
PyTorch
Optuna
MLflow
CI/CD
Digital Twin
Estimated Salary Range for Machine Learning Engineer in Remote
BELOW AVERAGE
< $150k/yr
✨
AVERAGE RANGE
$150k - $180k
/year
ABOVE AVERAGE
> $180k/yr
đź’ˇ Salary estimates based on aggregated data from public sources. Actual salaries may vary.
Job Description
At Phantasma Labs, we’re building smart software that helps factories plan better. Our AI co-pilot helps factories schedule production more efficiently, adapt to changes faster, and make the most of available resources, without needing tons of data or complicated tools. Instead of relying on massive historical datasets, our models are trained in simulated factory environments using reinforcement learning, which helps us find better solutions much faster than traditional systems. We work with manufacturers across Europe and the US and team up with ERP and MES providers to bring our solution directly into real production workflows. We’re based in Berlin, but remote-first, so you don’t have to be here to join us. We’re a lean, international team with big ambitions, building what we believe is one of the most advanced production planning tools in the world.
Tasks
Write robust, scalable, and production-ready Python code
Provide code reviews, guidance, and mentorship to fellow developers to maintain high coding standards
Write unit tests and integration tests (unittest, pytest, etc.)
Design, engineer, and optimize features in the digital twin for Reinforcement Learning (RL) simulations using Python (Python data structures, NumPy, Pandas, etc.)
Create, optimize, and maintain training and evaluation scripts (for RL agents)
Set up and maintain Python environments using modern tools (uv, conda, etc.)
Work collaboratively using git (GitHub)
Participate in customer calls to understand and translate requirements into actionable technical features.
Brainstorm ideas to improve the RL agent, including algorithms, rewards, and architecture.
Requirements
Must haves
A background in Computer Engineering/Mathematics/Machine Learning/Industrial Engineering or related field
5+ years of Python experience
2+ experience in factory shopfloor operations as engineer or planner
Or Alternatively 2+ years experience in ERP/MES systems for factories
Strong grasp of manufacturing processes across various domains like discrete manufacturing, line production, and engineer-to-order, etc.
Basic understanding and experience in developing/application of RL algorithms
Nice to haves
3+ experience in factory shopfloor operations as engineer or planner
Or Alternatively 3+ years experience in ERP/MES systems for factories
Research experience in developing RL algorithms
CI/CD pipeline experience (GitHub actions)
Experience in using libraries like Pytorch, Optuna, MLflow
Benefits
Ownership from day 1: small team, fast feedback, visible results
Collaborate with a strong team: work alongside highly skilled ML specialists working on cutting-edge AI optimization, and experienced software engineers building the production-grade systems that bring it to life
A supportive, open culture: clear communication, strong collaboration and flat hierarchies
Flexible working hours & hybrid setup: work remotely or from our Co-working space in Berlin Mitte – whatever helps you do your best work
A company laptop to support your work
Sounds Like a Fit?
If this sounds like your type of challenge, we’d love to hear from you! Just fill out our short application form to tell us who you are, what you’ve built so far and why this role excites you.
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