Engineering Manager, Dandy
Machine Learning Platform
$216.8-255k
Offers Equity
Fully digital dental lab
Be an early applicant
Fully digital dental lab
1001+ employees
Be an early applicant
$216.8-255k
Offers Equity
1001+ employees
Company mission
To become the best digital dental lab for every dentist.
Role
Who you are
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field
- 5+ years of industry experience in applied machine learning, with at least 2+ years in a leadership or management role
- Deep understanding of ML Platform best practices: CI/CD for ML, model deployment, observability, and lifecycle management
- Strong people management skills with a track record of team development, hiring mentorship, and retention
- Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Hands-on experience with model optimization, hyperparameter tuning, evaluation, monitoring, and benchmarking
- Familiarity with Docker, Kubernetes, Kubeflow, and cloud platforms (AWS, GCP, or Azure); preference for GCP tools (Vertex AI, BigQuery, Dataflow, GKE)
- Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations
What the job involves
- We are seeking an experienced Engineering Manager, Machine Learning to lead a team of ML Platform Engineers
- You will play a key role in laying the foundation that will drive the team’s success—establishing best practices, solving ambiguous data problems with industry-wide impact, and fostering a culture of innovation
- Lead execution of the ML roadmap, with a focus on building scalable, production-grade ML Platform infrastructure for 3D deep learning and computer vision applications
- Build and lead a high-performing ML Platform team, with an emphasis on reliability, reproducibility, and efficient model lifecycle management
- Partner with product, engineering, and research stakeholders to translate ML innovations into robust, deployable systems that support key business objectives
- Oversee the end-to-end deployment of computer vision models that extract structure from complex 3D scan data, ensuring production readiness and performance at scale
- Drive experimentation and implementation of SOTA techniques for 3D generative AI, while ensuring they are integrated into robust ML Platform workflows
- Collaborate cross-functionally to identify pain points and bottlenecks in current ML pipelines and deliver improvements through automation and tooling
- Manage large-scale data pipelines, versioning, and labeling workflows to support both generalized and fine-tuned model development
- Define and implement rigorous evaluation and monitoring strategies to maintain high model quality, mitigate drift, and ensure reliability in production
- Establish and maintain best practices for CI/CD of ML models, including model versioning, rollback mechanisms, and monitoring for performance and integrity
Our take
Dentistry has long relied on outdated practices. Dandy was created to modernize and simplify dental operations by integrating technology into every aspect of the dental practice. Its goal is to streamline workflows, making dental practices more efficient and easier to manage.
While other startups have tried to bring technology to the dental field, Dandy distinguishes itself by understanding the industry's complexity and respecting the way dentists operate. Rather than overwhelming practitioners with a complete overhaul, Dandy introduces new features gradually, such as digitizing dental labs for procedures like crowns and implants.
Dandy aims to provide a complete "business-in-a-box" solution that allows dentists to focus on patient care while the platform handles administrative and operational tasks. While this vision has the potential to bring immense value to a field in need of innovation, the challenge lies in overcoming dentistry's resistance to change. Patience and persistence will be key as Dandy reshapes how dental professionals run their practices.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (1 round)
Apr 2019
$4.4m
SEED
Total funding: $4.4m
Company benefits
- Comprehensive health plans: Your health is our top priority. We offer a range of comprehensive medical, dental, and vision plans so you can choose what works best for you. Some plans include employer contributions to Health Savings Accounts (HSAs), and we offer options that cover 100% of employee-only premiums.
- Flexibility, built-in: At Dandy, we flex-first, which means trusting you to own your day and deliver, working where and how you want. We believe that by embracing flexibility, we empower everyone to balance work and life in the way that works best for them. Some roles need to be on-site due to the nature of the work.
- Investing in your wellbeing: Your wellbeing is more than just physical health—that’s why our benefits are designed to support you in all aspects of life. From mental health resources included in our healthcare plans to perks like pet insurance, a gym stipend, and access to discount platforms like Perkspot, we offer a range of programs to help you feel your best—inside and outside of work.
- Shared Success: We believe in shared success—when the business wins, our employees do too. Through performance-based bonuses and equity opportunities, our team shares in the impact we create together.
Company HQ
New York, NY
Leadership
Toni Oloko
(Co-Founder)Previously worked in Special Projects at goPuff. Before that founded PracticeGigs which they went on to sell.
Daniel Hanover
(Co-Founder)Previously worked as a Product Manager at Yelp and as a Software Engineer at Facebook. Studied Management and Technology at Wharton.
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