14 meilleures offres (data streaming engineer, paris, a8) (à pourvoir)

Multimodal ML Engineer
White Circle —Paris (75)
- De 120 000 € à 250 000 € par an
- Temps plein
- Télétravail partiel
Solution & Data Integration Architect – API First & Industrial Data Continuity F-H
Safran —Malakoff (92)
- Temps plein
- Anglais
- Master
il y a 10 jours
273 - Data Engineer Senior Databricks / GCP (IT) / Freelance
Nicholson SAS —Meudon (92)
- 430 € par jour
- SQL
- Production
- Python
il y a 5 jours
Software Engineer - Internal AI Platform
Gorgias —Paris (75)
- De 82 592 € à 91 286 € par an
- Temps plein
- APIs
- Intelligence artificielle
- Python
Senior Expert Platform Engineer (m/f/d)
Deezer —Paris (75)
- Télétravail partiel
- Informatique
- DevOps
- Anglais
il y a 12 jours
ML Engineer B2B - H/F
TF1 —Boulogne-Billancourt (92)
- Azure
- SQL
- Machine learning
il y a 8 jours
Data Engineer Senior
Orange SA —Châtillon (92)
- Temps plein
- Azure
- Ingénierie
- Master
Senior Backend Engineer, Integrations
Vibe —Paris (75)
- De 88 000 € à 120 000 € par an
- Temps plein
- Télétravail partiel
- C++
- APIs
Postuler rapidement
Data Engineer Senior
MasORange —Châtillon (92)
- Temps plein
- Azure
- Ingénierie
- Master
il y a 11 jours
Senior ML Engineer B2C - H/F
TF1 —Boulogne-Billancourt (92)
- Azure
- SQL
- Python
il y a 8 jours
Senior iOS Engineer – Social Apps
Dailymotion —Paris (75)
- Temps plein
- Télétravail partiel
- Anglais
- Intelligence artificielle
- Python
Postuler rapidement
Sr. Devops Engineer II
DoubleVerify —Paris (75)
- DevOps
- SQL
- AWS
Postuler rapidement
il y a 9 jours
Senior Engineer I
Kaluza —Paris (75)
- De 54 000 € à 70 000 € par an
- Agile
- Production
- Intelligence artificielle
Tech Lead AWS
Capgemini Sogeti —Issy-les-Moulineaux (92)
- Azure
- DevOps
- Anglais
il y a 9 jours

More jobs to discover

Find similar jobs that you might be interested in.

Solution & Data Integration Architect – API First & Industrial Data Continuity F-H
Safran —Malakoff (92)
Travail en mode projet (SAFe / cycle en V). Concevoir les architectures permettant la remontée, l'horodatage et la valorisation des données industrielles (…
il y a 10 jours

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data streaming engineer (paris, a8)

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Multimodal ML Engineer

White Circle
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Temps plein
De 120 000 € à 250 000 € par an

Qualifications

Traitement de signal
PyTorch
Deep learning

Description complète du poste

TLDR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform that operates at 100M+ API calls/month.

About us

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
We process over 100M+ API calls every month
We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

You will

Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints
Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio
Design and run experiments: architecture changes, data mixes, training recipes
Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation
Train and optimize MoE architectures for efficient multimodal inference
Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text
Optimize models for production: quantization, distillation, batching, streaming and low-latency serving
Deploy models end-to-end: from research checkpoint to production serving
Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding

You’ll fit right in if you

3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic)
Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar)
Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar)
Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modeling — not just for text
Experience with video and/or audio sequence modeling: temporal modeling, long-context processing, efficient attention, streaming inference
Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores
Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation
Familiar with MoE architectures and their tradeoffs for multimodal workloads
Strong engineering fundamentals: clean code, version control, testing, documentation

A big plus:

Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction) is a plus

Why White Circle

Paid time off in line with your local regulations, no matter where you work from
Work from Paris (hybrid) with a relocation package available, or work from London (note: we are unable to provide relocation support for London-based roles)
Comprehensive medical insurance for our France-based team (please note that we are in the process of setting up our UK office and therefore cannot offer medical insurance for London-based roles yet)
All the hardware, tools, and services you need
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

How we hire

Introductory call with HR (25 min)
Take-home test task
Technical interview with Head of Applied Research (60 min)
Final conversation with our CEO (45 min)

Compensation Range: $120K - $250K

Soumettre votre candidature

Affinez votre recherche

data streaming engineer emplois - paris, a8

Multimodal ML Engineer

Solution & Data Integration Architect – API First & Industrial Data Continuity F-H

273 - Data Engineer Senior Databricks / GCP (IT) / Freelance

Software Engineer - Internal AI Platform

Senior Expert Platform Engineer (m/f/d)

ML Engineer B2B - H/F

Data Engineer Senior

Senior Backend Engineer, Integrations

Data Engineer Senior

Senior ML Engineer B2C - H/F

Senior iOS Engineer – Social Apps

Sr. Devops Engineer II

Senior Engineer I

Tech Lead AWS

More jobs to discover

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data streaming engineer (paris, a8)

Related Searches

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact