Location: Brooklyn, NY or Bay Area preferred
Snip is one of Mathpixs flagship products: a cross-platform app that turns handwritten notes, textbook pages, and screenshots into clean, editable LaTeX and Markdown. Millions of students, researchers, and engineers use it across iOS, Android, Windows, Linux, and the web. Were looking for a Product Lead to own Snips roadmap and growth and make a product used by millions measurably better with every release.
Youll decide what we build next by weighing user impact and revenue, work hand in hand with the client engineers across every platform, and stay close to the people who use Snip, turning what you learn into a clear understanding of our users that guides both the product and the company. Youll set the release cadence, keep the apps consistent and polished, and give Snip a strong, regular voice with its users.
Were looking for a senior builder-owner rather than a classical people manager: someone who can both decide and do, technical enough to prototype small changes and write clear specs for the larger ones, fluent with modern AI tools, and energized by owning a product and its users end to end. Backgrounds vary, and strong candidates have been senior engineers, engineering managers, designers, or product managers.
What youll do:
- Own the Snip roadmap and release cadence, prioritizing by user impact and revenue
- Turn user research and product metrics into a clear understanding of who uses Snip and why, and share it across the company
- Work with the client engineers to ship consistent, polished releases across mobile, desktop, and web
- Prototype small improvements directly, and write clear specs the engineers build from on larger ones
- Run a regular product update that keeps users engaged with what is new
- Own the core Snip metrics: signups, activation, retention, and revenue
What were looking for:
- Senior product experience, having taken a product or major surface end to end and shipped on a predictable cadence
- Technical enough to prototype changes yourself and write specs engineers can build from
- Strong at user research and at turning conversations and data into decisions
- Fluent with modern AI tools
- Excellent written communication and sharp judgment about prioritizing by user impact and revenue
Nice to have:
- Experience owning a cross-platform consumer or prosumer app across mobile, desktop, and web
- A background as a senior engineer, engineering manager, designer, or product manager
- Familiarity with subscription and usage metrics, retention, and churn
- Experience with math, science, or education products, or with LaTeX and Markdown
- Contributions outside of work, such as personal projects, open-source, articles, or blog posts
Senior Machine Learning Engineer
Location: Brooklyn, NY or Bay Area preferred
Mathpix 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, youll play a pivotal role in advancing the state of the art in OCR and related applications, building custom models that push the boundaries of whats 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 mentoring teams and driving research agendas in applied AI settings
- 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