Senior Machine Learning Engineer
Aktualisiert am 11.08.2026
Profil
Mitarbeiter eines Dienstleisters
Remote-Arbeit
Verfügbar ab: 10.08.2026
Verfügbar zu: 100%
davon vor Ort: 0%
Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

2 years 3 months
2024-06 - now

Gradient CI-System

Lead Developer Rust Softwarearchitektur PostgreSQL ...
Lead Developer
  • Design and development of a Nix-based CI system in Rust, currently in production
  • Rust Backend and Angular Frontend
  • Over 200 active users, 200+ GitHub stars; ecosystem with a MicroVM hypervisor
  • Telemetry Integration with Grafana via OTLP (OpenTelemetry)
  • Open-Source code GitHub: [Code on request]

Rust Softwarearchitektur PostgreSQL TypeScript Angular Lead Developer
[Company name on request]
Dresden
4 years 6 months
2022-03 - now

[Company name on request]

Founder and Lead Developer Lead Developer Python Machine Learning ...
Founder and Lead Developer
  • Team leadership, technical guidance, and project management
  • Setup and operation of the entire server, network, and storage infrastructure: NFS between storage and compute servers via 10G interconnect, BGP routing, nftables firewalls, policy-based routing
  • MicroVM deployments on multiple NixOS servers, high availability with HAProxy and nginx
  • Monitoring of the entire infrastructure with Grafana and Prometheus
  • ML Client Projects: Time Series Analysis for Risk and Fraud Models
  • Computer Vision Client Project: AI-Powered Distance Measurement and Point Cloud Generation
  • Other client projects, including a booking platform (similar to Airbnb) with payment integration and integration of various REST interfaces, developed using a test-driven approach

Lead Developer Python Machine Learning Rust Hochverfügbarkeit Projektleitung Computer Vision Spracherkennung
[Company name on request]
Dresden
1 year 11 months
2024-08 - 2026-06

ML Research ASR and Self-Supervised Learning

Machine Learning Researcher Python PyTorch Spracherkennung ...
Machine Learning Researcher
  • In-house implementation of HuBERT and BestRQ pre-training as well as voice conversion pipelines in PyTorch
  • Development of a proprietary pre-training approach beyond HuBERT and BestRQ: 5- to 8-times faster pre-training
  • Distributed training across 4x NVIDIA H100 (TU Dresden HPC, SLURM) with throughput and memory optimization
  • WER of 5.91% (test-clean) and 15.37% (test-other) on LibriSpeech; state of the art at the time: 5.4% and 13.2%
  • Compilation of a speech dataset comprising approximately 100,000 hours; development of scalable data pipelines for efficient processing at this scale; storage in Parquet
  • Reproducible evaluation pipeline on LibriSpeech (960 hours, approx. 281k samples) using Nix

Python PyTorch Spracherkennung Speech-to-Text Big Data
Technical University Dresden
Dresden
3 months
2024-06 - 2024-08

ML Research Wake-Word-Detection

Machine Learning Engineer Python PyTorch Big Data ...
Machine Learning Engineer
Core member of the research team in the Research & Development department working on a wake-word detection solution
Python PyTorch Big Data Data Scientist NLP
Linguwerk GmbH
Dresden

Position

Position

Senior software developer with 15 years of experience, including about six years specializing in Python.
Team lead and responsible for architecture at my own limited liability company (GmbH) since 2022.

Machine Learning. Focus on next-token prediction (NTP), automatic speech recognition (ASR), and computer vision. In-depth expertise in Transformer architectures and self-supervised pre-training. Experience training large models on multi-GPU systems: distributed training, throughput, and memory optimization.

Systems & Infrastructure. Development of highly available systems and the associated network and storage infrastructure; HA architectures, HAProxy, nginx, network-based storage, nftables firewalls, and policy-based routing. Reproducible deployments with Nix/NixOS and MicroVMs. Performance-critical components in Rust; author of Gradient, a CI system for NixOS.

Embedded. Development for microcontrollers (ESP32, CH32 series, Arduino), now primarily in Embedded Rust; previously in C++. Experience with sensor fusion and real-time control loops, among other things.

This provides the entire chain from a single source: model development and distributed training, the infrastructure for reliable and reproducible operation, all the way through to execution on resource-constrained hardware.
Originally from Java and C# development, later C++; today, a clear focus on Python and Rust.

Kompetenzen

Kompetenzen

Schwerpunkte

Transformer (Machine Learning)
Experte
Automatic Speech Recognition (ASR)
Experte
Next-Token-Prediction (NTP)
Experte
Computer Vision
Fortgeschritten
Distributed / Multi-GPU Training
Fortgeschritten
Big Data
Fortgeschritten

Betriebssysteme

NixOS
Experte
Linux
Fortgeschritten

Programmiersprachen

Python
Experte
Rust
Experte
C++
Fortgeschritten
C#
Basics
Java
Basics

Hardware

PCB Design
Fortgeschritten

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

2 years 3 months
2024-06 - now

Gradient CI-System

Lead Developer Rust Softwarearchitektur PostgreSQL ...
Lead Developer
  • Design and development of a Nix-based CI system in Rust, currently in production
  • Rust Backend and Angular Frontend
  • Over 200 active users, 200+ GitHub stars; ecosystem with a MicroVM hypervisor
  • Telemetry Integration with Grafana via OTLP (OpenTelemetry)
  • Open-Source code GitHub: [Code on request]

Rust Softwarearchitektur PostgreSQL TypeScript Angular Lead Developer
[Company name on request]
Dresden
4 years 6 months
2022-03 - now

[Company name on request]

Founder and Lead Developer Lead Developer Python Machine Learning ...
Founder and Lead Developer
  • Team leadership, technical guidance, and project management
  • Setup and operation of the entire server, network, and storage infrastructure: NFS between storage and compute servers via 10G interconnect, BGP routing, nftables firewalls, policy-based routing
  • MicroVM deployments on multiple NixOS servers, high availability with HAProxy and nginx
  • Monitoring of the entire infrastructure with Grafana and Prometheus
  • ML Client Projects: Time Series Analysis for Risk and Fraud Models
  • Computer Vision Client Project: AI-Powered Distance Measurement and Point Cloud Generation
  • Other client projects, including a booking platform (similar to Airbnb) with payment integration and integration of various REST interfaces, developed using a test-driven approach

Lead Developer Python Machine Learning Rust Hochverfügbarkeit Projektleitung Computer Vision Spracherkennung
[Company name on request]
Dresden
1 year 11 months
2024-08 - 2026-06

ML Research ASR and Self-Supervised Learning

Machine Learning Researcher Python PyTorch Spracherkennung ...
Machine Learning Researcher
  • In-house implementation of HuBERT and BestRQ pre-training as well as voice conversion pipelines in PyTorch
  • Development of a proprietary pre-training approach beyond HuBERT and BestRQ: 5- to 8-times faster pre-training
  • Distributed training across 4x NVIDIA H100 (TU Dresden HPC, SLURM) with throughput and memory optimization
  • WER of 5.91% (test-clean) and 15.37% (test-other) on LibriSpeech; state of the art at the time: 5.4% and 13.2%
  • Compilation of a speech dataset comprising approximately 100,000 hours; development of scalable data pipelines for efficient processing at this scale; storage in Parquet
  • Reproducible evaluation pipeline on LibriSpeech (960 hours, approx. 281k samples) using Nix

Python PyTorch Spracherkennung Speech-to-Text Big Data
Technical University Dresden
Dresden
3 months
2024-06 - 2024-08

ML Research Wake-Word-Detection

Machine Learning Engineer Python PyTorch Big Data ...
Machine Learning Engineer
Core member of the research team in the Research & Development department working on a wake-word detection solution
Python PyTorch Big Data Data Scientist NLP
Linguwerk GmbH
Dresden

Position

Position

Senior software developer with 15 years of experience, including about six years specializing in Python.
Team lead and responsible for architecture at my own limited liability company (GmbH) since 2022.

Machine Learning. Focus on next-token prediction (NTP), automatic speech recognition (ASR), and computer vision. In-depth expertise in Transformer architectures and self-supervised pre-training. Experience training large models on multi-GPU systems: distributed training, throughput, and memory optimization.

Systems & Infrastructure. Development of highly available systems and the associated network and storage infrastructure; HA architectures, HAProxy, nginx, network-based storage, nftables firewalls, and policy-based routing. Reproducible deployments with Nix/NixOS and MicroVMs. Performance-critical components in Rust; author of Gradient, a CI system for NixOS.

Embedded. Development for microcontrollers (ESP32, CH32 series, Arduino), now primarily in Embedded Rust; previously in C++. Experience with sensor fusion and real-time control loops, among other things.

This provides the entire chain from a single source: model development and distributed training, the infrastructure for reliable and reproducible operation, all the way through to execution on resource-constrained hardware.
Originally from Java and C# development, later C++; today, a clear focus on Python and Rust.

Kompetenzen

Kompetenzen

Schwerpunkte

Transformer (Machine Learning)
Experte
Automatic Speech Recognition (ASR)
Experte
Next-Token-Prediction (NTP)
Experte
Computer Vision
Fortgeschritten
Distributed / Multi-GPU Training
Fortgeschritten
Big Data
Fortgeschritten

Betriebssysteme

NixOS
Experte
Linux
Fortgeschritten

Programmiersprachen

Python
Experte
Rust
Experte
C++
Fortgeschritten
C#
Basics
Java
Basics

Hardware

PCB Design
Fortgeschritten

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