Senior ML/AI Engineer

About Reacher:We're the #1 TikTok Shop partner helping brands like Under Armour, Hanes, HeyDude, and Logitech scale their affiliate marketing. We've crossed 7 figures in ARR, and are rapidly scaling our team this year. Our vision is to become the Hubspot for creator marketing, powering brands and creators to connect and grow across all commerce platforms (Youtube Shopping, Instagram Shopping, Shopify, Amazon).We're building key infrastructure for the creator economy and implementing AI with the world's largest brands and creators. Your work will directly impact users on day 1—our user base depends on our product daily.Your work will directly impact users on day 1. We have a highly responsive user base that depends on our product day in and day out.What You'll DoOwn ML systems end-to-end: research, prototype, train, deploy, and iterate rapidlyBuild multimodal ML systems for video, text, images, and audio at scaleDesign and deploy LLM-powered applications using RAG and AI APIsDevelop content understanding and classification models for text and visual dataBuild search and discovery systems using embeddings and semantic retrievalCreate audio analysis and processing pipelinesBuild MLOps infrastructure—data pipelines, model serving, monitoring, and experiment trackingIdeate ML/AI product features with product and customersLeverage modern AI tools to accelerate developmentWork directly with customers and translate vague requirements into shipped ML solutionsShip fast and learn fast—high urgency environmentYou're a Fit IfYou have 4–7 years of ML engineering experience building and deploying models in productionYou have strong Python and ML fundamentals and write clean, maintainable production codeYou've built ML models end-to-end: data pipelines, training, serving, monitoringYou're experienced with modern ML frameworks (PyTorch, TensorFlow, scikit-learn)You have production experience with LLMs and AI APIs (OpenAI, Anthropic, Hugging Face)You can build ML systems across multiple domains—NLP, computer vision, and audioYou're product-minded and identify where ML can solve user problems and improve business metricsYou're comfortable with MLOps tools and cloud platforms (AWS or GCP)You're resourceful and thrive in ambiguous environmentsML & AI-Specific Skills We ValueCore ML: Supervised/unsupervised learning, feature engineering, model evaluation, A/B testingDeep Learning: Neural networks, transformers, CNNs, training and optimizationNLP/LLMs: RAG systems, prompt engineering, vector databases, fine-tuning, LangChainComputer Vision: Image classification, object detection, OCR, visual content understanding, image embeddingsAudio/Speech: Audio classification, speech recognition (ASR), audio transcriptionSearch & Retrieval: Semantic search, embedding models, vector similarity, multimodal retrievalMLOps: Model serving, monitoring, experiment tracking (MLflow, Weights & Biases), data pipelinesCloud ML: AWS (SageMaker, Bedrock) or GCP (Vertex AI), model deployment, scalable inferenceBonus Points IfYou've worked at an early-stage startup or been a first/early ML hireYou have experience building multimodal search systems or semantic retrieval at scaleYou have experience with video understanding—extracting features, generating embeddings, or analyzing visual contentYou've implemented feature stores or advanced MLOps infrastructureYou have experience with real-time inference and low-latency model servingYou have expertise in adversarial robustness and model safety testingYou've built hybrid RAG + fine-tuning systemsYou have experience with multimodal models (vision + language, audio + text)You're experienced with model optimization (quantization, distillation, pruning)You have a track record of shipping ML-driven product features that moved key metricsYou've shipped side projects or contributed to open-source ML projectsWhy Join UsPost-revenue company solving real problems for real customersBe the ML/AI leader—define our ML strategy and infrastructure as we scaleHigh autonomy and visibility—no boring ticketsYour models reach users within days, not monthsStrong engineering-first cultureShape both the product and the companyWork on diverse ML problems across video, language, and audioDirect impact on product strategy—your ML ideas become featuresWhen Applying:Feel free to send a short note about something you've built and why this role excites you. GitHub/LinkedIn/resume is great, but we care more about how you think and build!Compensation Range: $180K - $220K