83479597 full stack engineer internal tools web

VP of Engineering Location: Brooklyn, NY or Bay Area preferred Lumen Dynamics is looking for a VP of Engineering to lead our growing engineering organization. You'll own the technical roadmap, drive execution across backend, infrastructure, and ML teams, and ensure we ship reliable, scalable systems that power our document conversion products. This is a hands-on leadership role — you'll set the bar for engineering quality while building the team and processes needed to scale. The ideal candidate has led engineering teams at high-growth startups, has deep experience with distributed systems and ML infrastructure, and thrives in environments where they can both architect solutions and mentor engineers. Responsibilities: Lead and grow the engineering team, including hiring, mentoring, and setting technical direction Own the engineering roadmap and ensure alignment with business objectives Drive architectural decisions across backend services, infrastructure, and ML systems Establish and refine engineering processes for reliability, velocity, and quality Partner with ML leadership to ensure models are deployed and scaled effectively in production Oversee incident response, production health, and operational excellence Required skills: 7+ years of software engineering experience, with 3+ years in engineering leadership Experience scaling engineering teams and systems at high-growth companies Deep technical expertise in distributed systems, cloud infrastructure (AWS), and container orchestration (Kubernetes) Strong background in Python and/or Go for backend systems Track record of shipping and operating mission-critical production systems Excellent communication skills and ability to work closely with founders and cross-functional teams Nice to have: Experience with ML infrastructure and model deployment pipelines Familiarity with computer vision, OCR, or document processing systems Experience building developer tools and improving engineering productivity Experience at a startup or high-growth company; founding/early-team experience is a bonus Contributions outside of work — personal projects, open-source, articles, or blog posts Senior Machine Learning Engineer Location: Brooklyn, NY or Bay Area preferred Lumen Dynamics is looking for a Senior Machine Learning Engineer with deep expertise in computer vision, sequence modeling, and multimodal AI. As a leader on our ML team, you'll play a pivotal role in advancing the state of the art in OCR and related applications, building custom models that push the boundaries of what's possible in text recognition, document understanding, and multimodal learning. The ideal candidate has a PhD in CS, ML, CV, NLP, or a related field, and many years of experience designing, training, and deploying deep learning models at scale. They have worked on sequence-to-sequence models, attention mechanisms, and large multimodal systems, and are motivated by the challenge of building production-grade AI models for mission-critical applications. Responsibilities: Research, design, and implement custom deep learning models for OCR and multimodal document understanding tasks Build and train sequence-to-sequence and attention-based architectures for text recognition, translation, and generation tasks Lead development of multimodal language models that combine vision and text for real-world applications (e.g., image-to-text, document parsing) Optimize and extend PyTorch-based training pipelines for large-scale datasets and high-performance inference Collaborate with product and engineering teams to integrate models into production systems, ensuring scalability, robustness, and efficiency Work closely with the in-house data team to define, generate, and curate high-quality training data, enabling rapid iteration on bug fixes and the development of new features Mentor junior engineers and provide technical leadership in model architecture, experimentation, and deployment best practices Required skills: PhD in Computer Science, Machine Learning, Computer Vision, NLP, or a related field 3+ years of hands-on experience in deep learning research and development Strong expertise in sequence-to-sequence models, attention mechanisms, and Transformer-based architectures Proven experience building and training custom models in PyTorch (not using off-the-shelf models) Track record of work in one or more of the following areas: machine translation, text generation, speech-to-text, OCR, image captioning, or related multimodal tasks Deep understanding of core ML concepts: optimization, regularization, model scaling, and distributed training Demonstrated ability to take models from research to production in a high-stakes environment Nice to have: Experience with large-scale multimodal foundation models and techniques for fine-tuning/adaptation Knowledge of advanced evaluation methodologies for sequence and multimodal models Publications in top ML/AI/vision conferences or journals (e.g., NeurIPS, CVPR, ACL, ICML) Experience