Multimodal ML Engineer

We're looking for a Multimodal ML Engineer to join White Circle, an AI Safety company building the safety, reliability, and optimization layer for AI systems through natural-language policies it automatically tests, enforces, and improves at scale. Backed by $70M (Series A) from top funds and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, and others, White Circle processes 100M+ API calls monthly and fine-tunes and trains its own LLMs to run faster and cheaper than open or proprietary models.You willTrain and fine-tune large-scale multimodal models (vision-language, audio, speech, video) from scratch and from pretrained checkpoints.Design experiments, build multimodal data pipelines, and train MoE architectures.Build alignment pipelines (SFT, DPO, GRPO), optimize for production (quantization, distillation, streaming), and deploy end-to-end.Define evaluation metrics that actually matter for the product.Requirements3+ years training large-scale multimodal models.Strong PyTorch and distributed training experience (DeepSpeed, FSDP).Deep familiarity with multimodal architectures – LLaVA, Qwen-VL, InternVL, Audio Flamingo, Whisper, HuBERT, Conformer or similar.Hands-on RLHF/alignment across modalities (GRPO, DPO, reward modeling).Both audio and video experience required – sequence modeling for each, plus large-scale dataset curation and production inference optimization.Relocation to Paris or London (hybrid) required.BonusAudio signal processing fundamentals – spectrograms, mel features, noise reduction.MoE architecture experience.We offerCompetitive salary + equity.Official employment, visa and relocation help.Find more English Speaking Jobs in France on Arbeitnow

Applying for the Multimodal ML Engineer position at Npv in Paris? Before submitting your application on Jobsfiy, review the key qualifications, core skills, and experience expectations listed above to ensure your profile highlights relevant achievements and measurable outcomes.

Recruiters and Applicant Tracking Systems (ATS) prioritize candidates whose resumes clearly align with the role's primary technical and functional competencies. You can use Jobsfiy's built-in Apply with AI Resume tool to tailor your resume summary and skill keywords specifically for this job opening, or run a free check on our ATS Testing System to verify your resume match score.

Once you submit your application, prepare for recruiter screening and technical rounds using Jobsfiy's AI Mock Interview simulator, which generates role-specific interview questions and instant feedback based on the Multimodal ML Engineer job description.