Principal Engineer, Computer Vision & MultiModal Team
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
Working at SambaNova Systems
This role presents a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations, including innovating from strategic product pathfinding to large-scale production. We are excited to have talents on board, pushing towards democratizing the modern Computer Vision and Multimodal capability in real-world use cases.
Responsibilities: As a Principal Computer Vision Engineer, you will be responsible for the following:
- Model Training: Utilize your expertise to train and optimize large-scale machine learning models for computer vision and multimodal applications.
- Testing and Deployment: Lead the testing and deployment efforts for computer vision and multimodal models, ensuring robustness and reliability in real-world scenarios.
- Algorithm Development: Work on the design and implementation of algorithms for computer vision and multimodal tasks, demonstrating creativity and problem-solving skills.
- Python Proficiency: Demonstrate proficiency in Python programming language for efficient and scalable implementation of computer vision and multimodal solutions.
- Mathematical Background: Leverage your strong mathematical background, including advanced math classes or a minor in math, to contribute to the development and optimization of ML and performance algorithms for running models on SambaNova hardware.
- Develop applications on top of vision and multimodal models to serve as customer references, including but not limited to zero-shot classification, similarity search, etc.
- Drive initiatives and collaborate with executive teams, product management, engineering compiler and NLP teams to develop roadmaps, co-design vision and multimodal (LMM, VLM) models.
Qualifications: To be successful in this role, you should possess the following qualifications:
- 8 plus years of hands-on engineering experience in machine learning developing computer vision applications. Including the management of ML experimentation and production deployment of ML solutions.
- Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano.
- Experienced pre-training CLIP, MAE or MIM, modifying ViT models, evaluating differences between different ViT type architectures (SWIN, Hira, 3D ViT).
- Working in a distributed computing environment.
- A deep theoretical or empirical understanding of deep learning.
- Experience building and deploying machine learning models.
- Strong analytical and debugging skills.
- Experience tech leading small teams.
- Experience acting as the point of contact for product teams.
- Experience in Python and/or C++.
- BS, MS, or Ph.D. in Computer Science in engineering or science fields.
Preferred Qualifications:
- Experience working in a high-growth startup
- A team player who demonstrates humility
- Action-oriented with a focus on speed & results
- Ability to thrive in a no-boundaries culture & make an impact on innovation
Annual Salary Range and Level
The base salary for this position ranges from $180,000/year up to $210,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.
Benefits Summary for US-Based Full-Time Direct Employment Positions
(The Recruiter will provide benefit details for non-US-based roles)
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our university job listings.
EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.