Senior Machine Learning Engineer, Scale AI
Computer Vision, Robotics
$218.4-273k
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$218.4-273k
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting-edge research and development in real-time and offline 2D and 3D algorithms
- This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data
- Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting
- 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning
- Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)
- Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation
- 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles
- Building real-time and batch ML systems that analyze structured and unstructured signals
- Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements
What the job involves
- The successful candidate will be a hands-on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production-ready systems that power our next-generation products
- Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds)
- Focus Area Expertise: Drive innovation in key perception areas, including:
- 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR)
- Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions
- Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams
- Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis
- Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure
- Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams
- Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research
- Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. By positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health, Dental & Vision Coverage: Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options
- Easy to use 401(K): Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings
- Wellness Fund: We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more
- Virtual Social Activities: Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships
- Learning & Development: We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey
- Flexible Work Hours: Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule
- Generous Paid Time Off: Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed
- Commuter Benefits: Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute
- Parental Leave: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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