Senior AI Engineer building core AI features for a tax advisory platform. Developing workflows and document intelligence functionalities while collaborating with a dynamic team in a hybrid setting.
About the role
- AI Engineer specializing in training audio and multimodal models for AI safety. Work at White Circle, focusing on production-ready solutions for AI systems.
Responsibilities
- Train and fine-tune large-scale audio and multimodal models from scratch and from pretrained checkpoints
- Design and run experiments: architecture changes, data mixes, training recipes
- Build and maintain audio data pipelines — from raw recordings to training-ready datasets
- Optimize models for production: quantization, distillation, streaming inference
- Deploy models end-to-end: from research checkpoint to low-latency serving
- Collaborate with research to turn experimental ideas into shippable features
- Define evaluation metrics and benchmarks that actually matter for the product
Requirements
- 3+ years of experience training large-scale deep learning models in audio, speech, or acoustic domains
- Strong hands-on experience with PyTorch, distributed training (DeepSpeed, FSDP, or similar)
- Familiarity with audio/speech architectures (Audio Qwen, Whisper, HuBERT, Conformer, or similar)
- Experience with vision-language and multimodal architectures (Audio Flamingo, Omni Qwen, or similar)
- Track record of shipping models to production: you've hit latency targets, not just accuracy benchmarks
- Comfortable working with large-scale audio data pipelines: preprocessing, augmentation, dataset curation
- Understanding of audio signal processing fundamentals: spectrograms, mel features, noise reduction
- Experience with SFT, DPO, GRPO or other alignment techniques — ideally in multimodal setting
- Strong engineering fundamentals: clean code, version control, testing, documentation
Benefits
- 20 days of paid vacation
- Work from Paris (hybrid) + relocation package
- Best medical insurance in France
- 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
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Copilot & Viva AI Engineer at the Federal Reserve Bank designing and implementing IT engineering solutions. Collaborating with teams to deploy Microsoft Copilot and manage AI initiatives.
AI Engineer developing production - ready AI features from idea to rollout for Logicc's AI platform in a hybrid work environment.
AI Engineer focusing on low - code platforms, building solutions for clients at Satori Analytics. Collaborating with teams to innovate and implement AI technologies within various industries.
AI Developer designing and developing secure AI applications for B.i.Team. Utilizing Microsoft technologies in Data & AI environments with a focus on user value.
Applied AI Engineer creating AI - powered features and tools to enhance the energy experience at Fuse Energy. Involved in consumer - focused projects and internal collaboration to boost productivity.
Creative AI Workflow Specialist enhancing CGI and Compositing pipelines in a collaborative environment. Focus on GenAI image generation and creative exploration with strong brands.
Build and deploy AI systems for financial and tax operations in a hybrid role. Collaborate with a diverse team in an innovative environment.
AI Engineer driving design and implementation of AI features for nPlan, a construction tech startup. Collaborate with experts in a dynamic environment to reshape project intelligence.
Senior Full Stack AI Engineer at CBIZ focusing on designing and scaling AI - driven products using .NET and modern frameworks. Collaborating with cross - functional teams to deliver value to customers.