This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.
We are seeking a highly motivated AI Scientist specializing in Machine Learning to join our growing AI R&D team. In this role, you will be at the forefront of developing and deploying cutting-edge deep learning models to solve real-world temporal modeling challenges in manufacturing. We’re looking for a candidate with strong practical R&D experience, grounded in solid theoretical fundamentals, and deep expertise in AI disciplines. The ideal candidate will have a deep understanding of state-of-the-art machine learning algorithms and techniques, a track record of impactful publications in top-tier conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, or ICCV, and a solid background in computer science and engineering. Experience collaborating with software engineering teams to scale and productize ML solutions is a strong plus. This is a high-impact role that combines foundational research, system-level design, and hands-on implementation. You’ll work closely with cross-functional teams to develop innovative solutions that guide strategic decisions and deliver tangible business value.
Responsibilities
- Design and implement Transformer-based architectures for time-series prediction and sequence modeling, across both univariate and multivariate data.
- Drive the full machine learning lifecycle—from exploratory data analysis to model deployment, monitoring, and continuous improvement.
- Conduct rigorous benchmarking, ablation studies, and performance optimization to ensure robustness and efficiency.
- Collaborate closely with data scientists, engineers, and product managers to translate complex business requirements into scalable technical solutions.
- Partner with software engineers to scale and productize ML algorithms within manufacturing AI software products.
- Contribute to Gauss Labs’ intellectual property portfolio through patents and high-impact technical publications.
- Mentor junior team members and play an active role in shaping the team’s AI roadmap and long-term strategy.
Key Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
- 3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.
- In-depth expertise in Transformer architectures and their applications beyond natural language processing.
- Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Solid mathematical foundation in statistics, optimization, and signal processing.
- Familiarity with hybrid modeling approaches that combine deep learning and traditional statistical methods.
- Experience working with noisy, sparse, or irregularly sampled time-series data.
- Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).
- Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.
Top Skills
Deep Learning
Jax
Machine Learning
Python
PyTorch
TensorFlow
Similar Jobs
AdTech • Digital Media • Marketing Tech
The Advertising Strategist partners with sales teams to create campaign strategies, analyze market trends, and enhance client interactions for successful advertising outcomes.
Top Skills:
Advertising StrategiesCustomer ExperienceData InsightsInnovationMarket IntelligenceMedia Strategies
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
Lead the GTPN team, overseeing strategy, architecture, and development of financial solutions while ensuring high standards and team motivation.
Top Skills:
Data AnalysisFinancial SolutionsSoftware DevelopmentSystem Architecture
Information Technology • Software • Financial Services
Develop and maintain high-performance systems for trading infrastructure, optimizing latency and reliability through clear and elegant solutions.
Top Skills:
C++
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
