Senior Machine Learning Engineer

TOP ENGINEER JOB POST Confidential Search for International Employer Industry: Social Commerce / AI Technology Degree: BS in Computer Science or Mathematics from Top 40 University Experience: 4-8 years in Production ML Systems AI-POWERED SOCIAL COMMERCE REVOLUTION Role: Senior Machine Learning Engineer - Multimodal AI Join 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, this rapidly expanding technical team is 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 as the customer base relies on the platform for daily operations. Architect and maintain machine learning systems across the full lifecycle from research through deployment, developing multimodal ML solutions processing video content, textual data, imagery, and audio at enterprise scale. Engineer large language model applications utilizing retrieval-augmented generation, create content analysis models, and build discovery capabilities using vector embeddings. Define ML strategy and infrastructure during growth phase with high autonomy, rapid deployment cycles (models reach production in days), and engineering-first culture in startup tech environment. Requirements: • Bachelor's Degree in Computer Science or Mathematics from TOP 40 UNIVERSITY required • 4-8 years building and deploying production machine learning systems • Exposure to startup tech environment required • Strong Python expertise with solid ML fundamentals and production-quality code practices • End-to-end ML model development experience: data engineering, training, deployment, monitoring • Proficiency with PyTorch, TensorFlow, and scikit-learn required • Production experience with large language models and AI service APIs (OpenAI, Anthropic, Hugging Face) • LangChain experience required • Cross-domain ML capabilities: natural language processing, computer vision, and audio • AWS or GCP cloud infrastructure experience (SageMaker, Bedrock, Vertex AI) • Experience with supervised/unsupervised learning, feature engineering, model evaluation, A/B testing • Neural architectures expertise: transformers, convolutional networks, training optimization • RAG implementations, prompt engineering, vector databases, model fine-tuning • Image classification, object detection, OCR, visual content analysis • Audio classification, automatic speech recognition, audio transcription experience • Semantic search, embedding models, vector similarity, multimodal retrieval • MLOps tooling: model deployment, monitoring, experiment tracking (MLflow, Weights & Biases) • Product-oriented mindset identifying ML opportunities that enhance user experience • Self-directed and effective in ambiguous situations What's in it for you? • Exceptional annual salary of $170,000 to $225,000 • Relocation assistance negotiable • Partially remote work options • H1B visa candidates welcome - willing to sponsor work authorization • Revenue-generating company addressing genuine market needs • Leading partner in social commerce with major brands (athletic wear, footwear, electronics) • Define ML strategy and infrastructure during growth phase • High autonomy with meaningful work - no trivial tasks • RAPID deployment cycle - models reach production in DAYS • Engineering-first culture focused on technical excellence • Influence both product and company direction • Immediate user impact - customers rely on platform for daily operations • Develop multimodal ML solutions: video, text, imagery, and audio at enterprise scale • Engineer large language model applications with RAG and AI service integrations • Build discovery and search capabilities using vector embeddings • Tackle varied ML challenges across multiple domains • Direct input on product strategy - your ML concepts become shipped features • Partner directly with clients transforming ambiguous needs into production solutions • Utilize cutting-edge AI tooling to enhance development velocity Confidential Placement This role is a confidential placement for a rapidly growing social commerce platform. We will manage your application with the highest level of privacy and professionalism. Location: San Francisco, California, USA (Partially remote) Note: Top 40 University degree required. Startup tech environment experience essential. Regional candidates preferred. H1B visa candidates welcome. Relocation assistance negotiable. #MachineLearning #AI #PyTorch #TensorFlow #SanFranciscoCareers #StartupCulture #LLM ADVANCE YOUR ENGINEERING CAREER TODAY RECRUITING TOP ENGINEERS SINCE 1997