10Beauty, located in Burlington, MA, is building the definitive Intelligent Beauty company, leveraging robotics and automation to reimagine how people can interact with machines on a service level. We have just closed a further $17M in funding (total funding of $38M), to launch the world's first full manicure machine next year, having already pre-sold over $13M in annual manicure pod subscriptions to our first launch partners. Our diverse 42-person and growing team is built around individuals with a consistently demonstrated track record of introducing successful new-to-the-world products (75+ new products launched across the team).
Introduction:
10Beauty is seeking a highly skilled and motivated Senior Machine Learning Engineer to join our growing team. Our Computer Vision/Machine Learning team currently consists of 7 engineers reporting to our Director of Perception. This particular position is new headcount for the team.
Location:
Burlington, MA
What you'll do:
- Design and develop instance, semantic, and 3D segmentation models for complex vision tasks, including surface normal estimation.
- Lead the implementation of machine learning models in cloud environments using AWS.
- Collaborate with cross-functional teams to integrate machine learning models into production systems.
- Develop and optimize data processing pipelines for efficient model training and evaluation.
- Implement best practices for model versioning, monitoring, and deployment.
- Conduct experiments to improve model accuracy and performance, utilizing data augmentation, custom loss functions, and advanced architectures.
- Generate and utilize synthetic training data through simulation environments to enhance model robustness and accuracy.
- Stay updated with the latest research and advancements in machine learning and computer vision.
What you have:
- M.S. or Ph.D. in Machine Learning/Computer Science, or a related field.
- 5+ years of experience in machine learning, with a focus on computer vision applications.
- Proficiency in Python and PyTorch, with hands-on experience in building deep learning models.
- Strong background in cloud-based machine learning workflows, preferably with AWS.
- Experience with data versioning and model management tools.
- Experience in surface normal estimation and 3D segmentation models.
- Experience in generating synthetic training data using simulation tools and environments.
- Solid understanding of multi-modal data processing and sensor fusion techniques.
- Proven track record of delivering complex projects in fast-paced environments.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
Benefits Overview:
We offer a comprehensive benefits program with Blue Cross Blue Shield as our healthcare provider. Regular full-time employees in the US are eligible for benefits on day one. More details include:
- Competitive Compensation & Equity : We offer transparent and equitable compensation packages tailored to individual qualifications, skills, and experience, providing competitive compensation and equity.
- Health & Wellness Benefits: We cover 100% of self and 75% of dependent Medical, Dental, & Vision Insurance plans.
- Company-paid Benefits: Disability, Life, and AD&D Insurance.
- Flexible Benefits: Voluntary Life, AD&D, Accident, and Pet Insurance & Mental health benefits to support your holistic well-being.
- Retirement & Savings Plan: 401K through Vestwell.
- Unlimited Flexible Vacation Policy: In our results-oriented work environment, we empower our team to manage their work and life commitments professionally and independently.
- Family-Friendly Policies: 12 weeks of paid Parental Leave following the birth or adoption of a new child.
- Company Culture: Our startup company culture is rooted with a strong emphasis on diversity, where we actively seek individuals who can bring fresh perspectives and skills to our fast-growing and dynamic team. We prioritize teamwork and collaboration as essential components of our culture.
- Flexible Environment: We recognize that building a startup robotics company and culture requires most of our best work to happen from our offices, where our prototypes, tools, 3D printers and team are. However, we encourage our team to work where it makes sense for them on any given day.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.