Description review
Senior ML Engineer
Quilter · USA · back to the listing
HR standards
53/100
needs work
Title ↔ description
87/100
strong
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 25 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About Quilter
At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.
No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:
•
Focus on the mission
•
Build great things that help humans
•
Demonstrate grit
•
Never stop learning
•
Pursue excellence
We're looking for a Senior ML Engineer to join Quilter's Placer Team and help us build the AI that automates component placement on PCBs.
The Role
The Placer is responsible for automated component placement on PCBs. This role spans the full lifecycle: research, prototyping, productionization, and maintenance. You'll work across optimization, machine learning, and geometric deep learning on a hard, real-world combinatorial problem.
This is a fully distributed team. We expect high autonomy and high ownership.
What Youʼll Do
•
Own problems end-to-end from exploratory R&D through production-hardened, maintainable systems
•
Develop and extend GPU-accelerated code in PyTorch and CUDA C++
•
Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modeling
•
Formulate objectives, model constraints, and debug numerical behavior in the stack
•
Contribute to technical direction and research strategy alongside senior teammates
What Weʼre Looking For
•
5+ years of industry experience in ML, optimization, or a related field
•
Strong fundamentals in machine learning and optimization
•
Production PyTorch experience
•
Demonstrated ability to work across research and production codebases
•
Comfort operating with high autonomy in ambiguous problem spaces
•
Strong communication and collaboration skills
Preferred
•
5–7 years of industry experience (Staff-level appointment may be considered)
•
CUDA C++ experience
•
Background in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization
Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.
What we offer:
•
Interesting and challenging work
•
Competitive salary and equity benefits
•
Health, dental, and vision insurance
•
Regular team events and offsites (~4x / year)
•
Unlimited paid time off
•
Paid parental leave
Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.
At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.
No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:
•
Focus on the mission
•
Build great things that help humans
•
Demonstrate grit
•
Never stop learning
•
Pursue excellence
We're looking for a Senior ML Engineer to join Quilter's Placer Team and help us build the AI that automates component placement on PCBs.
The Role
The Placer is responsible for automated component placement on PCBs. This role spans the full lifecycle: research, prototyping, productionization, and maintenance. You'll work across optimization, machine learning, and geometric deep learning on a hard, real-world combinatorial problem.
This is a fully distributed team. We expect high autonomy and high ownership.
What Youʼll Do
•
Own problems end-to-end from exploratory R&D through production-hardened, maintainable systems
•
Develop and extend GPU-accelerated code in PyTorch and CUDA C++
•
Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modeling
•
Formulate objectives, model constraints, and debug numerical behavior in the stack
•
Contribute to technical direction and research strategy alongside senior teammates
What Weʼre Looking For
•
5+ years of industry experience in ML, optimization, or a related field
•
Strong fundamentals in machine learning and optimization
•
Production PyTorch experience
•
Demonstrated ability to work across research and production codebases
•
Comfort operating with high autonomy in ambiguous problem spaces
•
Strong communication and collaboration skills
Preferred
•
5–7 years of industry experience (Staff-level appointment may be considered)
•
CUDA C++ experience
•
Background in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization
Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.
What we offer:
•
Interesting and challenging work
•
Competitive salary and equity benefits
•
Health, dental, and vision insurance
•
Regular team events and offsites (~4x / year)
•
Unlimited paid time off
•
Paid parental leave
Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.