Reducto

Company Name: Reducto
Job Title: Machine Learning Engineer (In-Person)
Job Description: **Job Title:** Machine Learning Engineer **Role Summary:** Design, train, and deploy computer‑vision and multilingual vision‑language models that extract structured information from unstructured enterprise documents. Lead experimentation, data‑pipeline construction, and model integration into production systems while collaborating with product and client stakeholders to shape feature direction. **Expectations:** - Minimum 2 years of proven experience engineering ML models for production use. - Demonstrated ability to ship reliable, high‑quality solutions rapidly with minimal “settling for 90 %.” - Proactive problem‑solver: debug, iterate, and build custom tools (e.g., Streamlit apps) to accelerate experimentation. - Comfortable owning projects from ideation through deployment and user feedback. **Key Responsibilities:** - Fine‑tune and evaluate state‑of‑the‑art vision and vision‑language models on large PDFs, spreadsheets, and other document types. - Develop and maintain robust data pipelines that ingest raw files, generate training and evaluation datasets, and monitor model performance. - Integrate trained models into downstream services, ensuring low latency and high accuracy for end‑users. - Experiment with novel algorithms and LLM‑based techniques to improve parsing accuracy and extraction speed. - Collaborate directly with founders and customers to prioritize features, gather requirements, and translate feedback into engineering solutions. - Maintain documentation, benchmark results, and clear API contracts for internal and external consumption. **Required Skills:** - Advanced proficiency in Python; experience with PyTorch, TensorFlow, or JAX. - Strong background in computer‑vision (object detection, OCR, layout analysis) and vision‑language models. - Expertise in training, hyper‑parameter tuning, and evaluating deep learning models at scale. - Practical knowledge of data‑engineering tools (Parquet, Spark/Databricks, AWS/GCP services). - Familiarity with deployment frameworks (FastAPI, Flask, Docker, Kubernetes). - Ability to prototype quickly with tools such as Streamlit or Gradio. - Excellent debugging, profiling, and performance‑optimization skills. - Solid understanding of ML ethics and bias mitigation. **Required Education & Certifications:** - Bachelor’s (or higher) in Computer Science, Machine Learning, Data Science, Electrical Engineering, or related quantitative field. - Certifications in cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML) preferred but not mandatory. ---

San francisco, United states

On site

Junior

31-10-2025

Company Name: Reducto
Job Title: Frontend Engineer
Job Description: **Job Title:** Frontend Engineer (Design Engineer) **Role Summary:** Develop and enhance Reducto Studio, a Next.js‑based web application that enables technical and non‑technical users to parse and extract data from complex documents. Deliver high‑quality, intuitive UI components for document viewers, extraction workflows, and real‑time collaboration while iterating rapidly based on user feedback. **Expectations:** - Maintain a high bar for code quality and user experience; no compromise on delivery standards. - Ship features quickly with strong ownership and proactive problem‑solving. - Apply a quantitative, data‑driven approach to debugging, experimentation, and iteration. - Communicate effectively with founders, customers, and cross‑functional teams to align product direction. **Key Responsibilities:** - Build and improve core features: document viewers, data extraction pipelines, visualization, and editing interfaces. - Design and implement responsive, intuitive UIs for complex tasks such as form filling, table extraction, and structured data output. - Develop real‑time collaboration capabilities across devices. - Work within the existing design system and technology stack (Next.js, Tailwind CSS, Convex). - Prototype new interaction patterns and component libraries to accelerate development. - Gather and incorporate user feedback to refine product functionality. **Required Skills:** - 2+ years of professional experience building production‑grade frontend applications. - Expert proficiency in TypeScript and React. - Strong UI/UX sensibility and ability to translate design concepts into functional code. - Experience with Next.js, Tailwind CSS, and modern state‑management or backend‑as‑a‑service platforms (e.g., Convex). - Ability to create custom tools, prototypes, and component libraries as needed. - Skilled in debugging, performance optimization, and rapid iteration. - Familiarity with document rendering (PDF/large file handling) and data visualization is a plus. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related field, **or** equivalent professional experience. - No specific certifications required.

San francisco, United states

On site

Junior

07-11-2025

Company Name: Reducto
Job Title: Machine Learning Engineer
Job Description: **Job Title:** Machine Learning Engineer **Role Summary:** Design, train, fine‑tune, and deploy vision and multimodal language models that parse complex enterprise documents (PDFs, spreadsheets, images). Build end‑to‑end data pipelines, evaluate model accuracy, and integrate production‑ready components into a scalable product. Work closely with founders and customers to shape model strategy and iterate rapidly based on quantitative results. **Expectations:** - Deliver high‑quality models within tight timelines, ensuring no compromise on accuracy. - Own the full lifecycle: ideation, experimentation, debugging, and shipping. - Collaborate with product and engineering teams to translate customer needs into measurable model improvements. - Maintain rigorous version control, documentation, and reproducibility. - Continuously monitor model performance and propose enhancements. **Key Responsibilities:** - Train and fine‑tune state‑of‑the‑art computer vision and vision‑language models on large, unstructured data sets. - Build and maintain data ingestion, preprocessing, and annotation pipelines for PDFs, tables, and images. - Design and execute experiments to improve LLM accuracy on extraction, summarization, and form‑completion tasks. - Integrate models into the production stack, exposing services via APIs or lightweight web interfaces (e.g., Streamlit). - Evaluate model performance using metrics (F1, precision/recall, mAP, BLEU, etc.) and present insights to stakeholders. - Iterate fast on feedback loops, troubleshooting issues in production. **Required Skills:** - 2+ years of production ML/AI experience. - Strong Python programming; expertise in PyTorch/TensorFlow or equivalent. - Deep knowledge of computer vision techniques (OCR, layout analysis, table/graph extraction). - Experience with vision‑language models (CLIP, PaLI, YoloSeq, etc.). - Familiarity with data pipeline tools (Pandas, Dask, Airflow) and model serving (FastAPI, Docker, Kubernetes). - Proficiency in designing experiments, A/B testing, and statistical evaluation. - Comfortable building lightweight tools (Streamlit, Gradio) for prototyping. - Self‑motivated, high quality standards, and ability to ship fast without sacrificing correctness. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (Master’s or PhD preferred). - Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are a plus.

San francisco, United states

On site

Junior

20-11-2025

Company Name: Reducto
Job Title: Founding Infrastructure Engineer
Job Description: **Job title**: Founding Infrastructure Engineer **Role Summary**: Lead the design, build, and operation of a scalable, highly available infrastructure stack to support AI/ML workloads and real‑time model deployments. Automate cloud provisioning, monitoring, and incident response, establishing reliability best practices across cloud and on‑prem environments. **Expectations**: - Deliver robust systems with a strong quality focus. - 5+ years in production‑grade infrastructure and reliability for high‑throughput systems. - Proven experience with cloud platforms, Kubernetes, container orchestration, networking, and storage. - Hands‑on Python (or equivalent) and ability to create custom tooling for diagnostics and automation. - Early‑stage/scale‑up background; comfortable driving the tech direction in a fast‑moving environment. - Passion for AI/ML, observability, incident management, and open‑source contributions. **Key Responsibilities**: 1. Architect & deploy modular, horizontally scalable infrastructure for AI/ML pipelines and live inference. 2. Implement end‑to‑end observability: metrics, logs, traces, alerts, dashboards. 3. Build and maintain CI/CD pipelines, infrastructure as code, and automated deployment workflows. 4. Diagnose, troubleshoot, and optimize performance bottlenecks and reliability incidents. 5. Create tooling (dashboards, remediation bots, scripts) to accelerate debugging and automation. 6. Collaborate with ML, product, and security teams to shape architecture and security posture. 7. Keep abreast of cloud, SRE, and observability trends; drive adoption of new tools/techniques. 8. Lead incident response, post‑mortem analysis, and continuous improvement cycles. **Required Skills**: - Cloud platforms (AWS, GCP, Azure) – infrastructure design, cost optimization, security. - Container orchestration (Kubernetes) – deployment, scaling, networking. - Networking & storage fundamentals (VPC, subnets, IAM, S3/Blob/GCS, block/managed disks). - Python (or similar) for automation, SDK usage, and tooling. - Observability stack (Prometheus, Grafana, Elastic Stack, Datadog, OpenTelemetry). - CI/CD, GitOps, Terraform/Helm/Ansible. - Incident management frameworks (SRE, PagerDuty, Opsgenie). - Familiarity with AI/ML model serving and GPU/accelerator scheduling. - Open‑source mindset; contributions to reliability or infrastructure projects preferred. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent). - Relevant certifications (AWS Certified Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD, or equivalent) are a plus.

San francisco, United states

On site

Mid level

24-12-2025

About the Company

Listed Jobs