Senior Machine Learning Engineer

Salary: Best in the Industry Experience / Skills: 3 to 8 years of expereince, pytorch, tensorflow, aws, langchain Job Description We're a leading partner in social commerce, collaborating with major athletic wear, footwear, and electronics brands to expand their influencer-driven sales channels. Having achieved significant revenue milestones, we're rapidly expanding our technical team. Our mission is to create the ultimate platform connecting content creators with brands across major e-commerce ecosystems including video shopping platforms, social media marketplaces, and online retail channels. We're developing critical infrastructure for the digital creator landscape and integrating artificial intelligence with enterprise-level brands and influencers. Your contributions will have immediate user impact—our customer base relies on our platform for their daily operations. Develop multimodal ML solutions processing video content, textual data, imagery, and audio at enterprise scale Engineer and implement large language model applications utilizing retrieval-augmented generation and AI service integrations Create content analysis and categorization models for written and visual media Build discovery and search capabilities using vector embeddings and semantic matching Develop audio processing and analysis workflows Establish ML operations infrastructure including data engineering pipelines, model deployment services, performance monitoring, and experimentation frameworks Collaborate on ML/AI product innovation with product teams and clients Utilize cutting-edge AI tooling to enhance development velocity Partner directly with clients to transform ambiguous needs into production ML solutions Deliver rapidly in a fast-paced, high-priority environment Qualifications Ideal Candidate Profile 4–8 years building and deploying production machine learning systems Strong Python expertise with solid ML fundamentals and production-quality code practices Proficiency with contemporary ML frameworks (PyTorch, TensorFlow, scikit-learn) Production experience with large language models and AI service APIs (OpenAI, Anthropic, Hugging Face) Cross-domain ML capabilities spanning natural language processing, computer vision, and audio Product-oriented mindset identifying ML opportunities that enhance user experience and business outcomes Familiarity with MLOps tooling and cloud infrastructure (AWS or GCP) Self-directed and effective in ambiguous situations Technical Expertise We're Seeking Supervised/unsupervised learning, feature engineering, model evaluation, A/B testing Neural architectures, transformers, convolutional networks, training optimization Audio classification, automatic speech recognition, audio transcription Semantic search, embedding models, vector similarity, multimodal retrieval Cloud ML services: AWS (SageMaker, Bedrock) or GCP (Vertex AI), scalable inference Why is This a Great Opportunity Revenue-generating company addressing genuine market needs Define ML strategy and infrastructure during growth phase High autonomy with meaningful work, no trivial tasks Influence both product and company direction Tackle varied ML challenges across video, language, and audio domains Direct input on product strategy, your ML concepts become shipped features Comments This is an urgent role Responsive client Open to H1B Visa transfer No OPT candidates #J-18808-Ljbffr WLEN WorldJobs LLP