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6.090

Python jobs in United States

VLM Research Engineer (m/f/d)

Deltia

Berlin
On-site
EUR 60,000 - 90,000
30+ days ago
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Machine Learning Engineer (m/w/d), ANLEI-Service GmbH

Landeswohlfahrtsverband Hessen (LWV)

Kassel
Hybrid
EUR 60,000 - 80,000
30+ days ago

Quantitativen Genetiker (m/w/d) für Zuckerrüben und Getreide

KWS SAAT SE

Einbeck
On-site
EUR 60,000 - 80,000
30+ days ago

Principal Data Scientist - Rentals Machine Learning Team

PowerToFly

Germany
Remote
EUR 151,000 - 243,000
30+ days ago

Werkstudent:in technisches Projektmanagement Infrastruktur

Deutsche Bahn AG

Regensburg
Hybrid
EUR 40,000 - 60,000
30+ days ago
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(Senior) Software QA Engineer, Video [m/f/d]

Dolby

Berlin
On-site
EUR 60,000 - 80,000
30+ days ago

Abschlussarbeit mit Schwerpunkt Elektrotechnik und Batteriespeichertechnologien

Iqony GmbH

Essen
Hybrid
EUR 40,000 - 60,000
30+ days ago

(Senior) Software Engineer, Video [m/f/d]

Dolby Laboratories

Berlin
On-site
EUR 60,000 - 80,000
30+ days ago
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Data Governance Manager (m/w/d)

ALDI Nord

Germany
Hybrid
EUR 60,000 - 80,000
30+ days ago

Mission Design Engineer

OKAPI:Orbits

Braunschweig
Hybrid
EUR 60,000 - 80,000
30+ days ago

Werkstudent*in mit Schwerpunkt Elektrotechnik und Batteriespeichertechnologien (m/w/d)

Iqony GmbH

Essen
Hybrid
EUR 20,000 - 40,000
30+ days ago

Software Engineer (m/w/d) Verifikation für elektronische Verteidigungssysteme

Akkodis

Ulm
Hybrid
EUR 45,000 - 65,000
30+ days ago

Senior Data Engineer at Advertising Platform

OneTeamAnywhere

Berlin
Remote
EUR 60,000 - 80,000
30+ days ago

Ingenieur/ Teilprojektleiter Avionik-Systeme und Software (w/m/d)

IT-Systemhaus der Bundesagentur für Arbeit

München
On-site
EUR 60,000 - 85,000
30+ days ago

Spacecraft Operations Engineer

Vyoma GmbH

München
Hybrid
EUR 60,000 - 80,000
30+ days ago

AI Compiler Engineer (Junior/Senior)

roofline

Köln
On-site
EUR 60,000 - 80,000
30+ days ago

Senior Analyst, Finance Analytics

PowerToFly

Germany
Remote
EUR 60,000 - 80,000
30+ days ago

Duales Studium (m/w/d) Elektrotechnik (B.Eng.) ab 1. September 2026

PowerToFly

Nürnberg
On-site
EUR 40,000 - 60,000
30+ days ago

Carbon Project Risk Analyst (f/d/m)

CEEZER

Berlin
On-site
EUR 50,000 - 70,000
30+ days ago

(Senior) Staff Research Scientist | Voice

DeepL

Berlin
On-site
EUR 90,000 - 120,000
30+ days ago

Senior Data Engineer (m/w/d)

MaibornWolff

München
Hybrid
EUR 55,000 - 75,000
30+ days ago

Instrument scientist (Postdoc) for the design and operation of a high-energy materials science [...]

Helmholtz-Zentrum Hereon

Hamburg
On-site
EUR 50,000 - 70,000
30+ days ago

Senior Data Engineer (m/w/d)

MaibornWolff

Frankfurt
Hybrid
EUR 55,000 - 75,000
30+ days ago

Market Insights Analyst (m/w/d)

geobra Brandstätter Stiftung & Co. KG

Zirndorf
On-site
EUR 45,000 - 60,000
30+ days ago

Principal Data Scientist - Rentals Marketplace Ads Team

PowerToFly

Germany
Remote
EUR 144,000 - 243,000
30+ days ago
VLM Research Engineer
Deltia
Berlin
On-site
EUR 60.000 - 90.000
Full time
30+ days ago

Job summary

An innovative AI-first software company in Berlin seeks a Research Engineer specializing in pushing the limits of vision-language models for real-world video understanding. Responsibilities include designing multimodal models and developing production-ready inference pipelines. Ideal candidates should hold a PhD in a related field and have experience with video-centric deep learning. The company offers competitive compensation, stock options, and a supportive culture that values diversity.

Benefits

Competitive salary & stock options
Flexible working hours
Supportive and inclusive culture

Qualifications

  • Completed PhD or equivalent track record in relevant field.
  • Strong background in scene understanding or video generation.
  • Experience with large vision or VLM models.

Responsibilities

  • Design and adapt models for scene understanding and action recognition.
  • Build and maintain large-scale training and evaluation pipelines.
  • Deliver production-ready inference pipelines.

Skills

Video-centric deep learning
Multi-GPU training (PyTorch)
Proven engineering habits

Education

PhD in computer vision, machine learning, or related field

Tools

GPU clusters
TensorRT
Job description

We’re looking for a Research Engineer to push the limits of vision-language models for real-world video understanding. You’ll work on applied, state-of-the-art multimodal models and turn them into production pipelines used by customers.

Your role
  • Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition
  • Build and maintain large-scale training and evaluation pipelines on GPU clusters
  • Curate and augment video-text and action datasets, including synthetic labels and retrieval-based augmentation
  • Develop robust benchmarks for video QA, instruction following and temporal understanding, and use them to drive iterative model improvements
  • Cut and refactor model architectures for efficiency and deployability (compression, pruning, distillation)
  • Deliver production-ready inference pipelines to product and customer teams, working closely with CV, platform and robotics engineers
You bring
  • Completed PhD (or equivalent research track record) in computer vision, machine learning, robotics or a related field
  • Strong background in video-centric deep learning: scene understanding, temporal / activity / action recognition, or video generation
  • Experience training and adapting large vision or VLM models (e.g. InternVL, Qwen-VL, DeepSeek-VL, similar stacks)
  • Proven work with multi-GPU training (PyTorch, distributed, mixed precision) and large-scale datasets
  • Solid engineering habits: clean Python, reproducible experiments, reliable data and training pipelines
  • Track record of moving research into usable systems (demos, internal tools, or productised features) in fast-moving teams
Nice to have
  • Publications at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.) on video, multimodal learning or scene understanding
  • Experience with 3D/4D scene representations, action generation or embodied / sense-plan-act style projects
  • Inference optimisation: quantisation, TensorRT, model distillation, or deployment on constrained hardware
  • Prior experience in a startup or applied research lab environment
What we offer
  • A competitive salary & stock options*
  • Be on the forefront in defining what artificial intelligence means in manufacturing
  • Gain hands‑on experience in working in an AI‑first software company
  • Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
  • Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting‑edge projects with real‑world impact
  • Network with professionals and leaders in the field, opening doors to potential future career opportunities
  • We have a very flat hierarchy, open 360° feedback, and flexible working hours
  • Ethics⚖: We are committed to developing ethical AI software
Don't meet all the requirements?

Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.

*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work‑student, internships and freelance roles are not eligible for stock options;

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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