Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data Science, Research & DevelopmentIndustries
Requirements
Candidates should possess a Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field, along with 3+ years of hands-on experience in deep learning, particularly with sequence modeling and time-series forecasting. Strong proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX is required, alongside a solid mathematical foundation in statistics, optimization, and signal processing. Familiarity with hybrid modeling approaches and experience working with noisy or irregularly sampled time-series data is also necessary, as is a publication track record in top-tier ML/AI conferences.
Responsibilities
The AI Scientist will design and implement Transformer-based architectures for time-series prediction and sequence modeling, drive the full machine learning lifecycle including exploratory data analysis, model deployment, monitoring, and continuous improvement, conduct rigorous benchmarking and performance optimization, collaborate with data scientists, engineers, and product managers to translate business requirements into technical solutions, partner with software engineers to scale and productize ML algorithms, contribute to intellectual property through patents and publications, mentor junior team members, and play an active role in shaping the team’s AI roadmap and strategy.
Skills
Deep Learning
Sequence Modeling
Time-Series Forecasting
Transformer Architectures
Python
PyTorch
TensorFlow
JAX
Statistics
Optimization
Signal Processing
Hybrid Modeling
Handling Noisy/Sparse/Irregular Data
Gauss Labs
AI solutions for semiconductor manufacturing efficiency
About Gauss Labs
Gauss Labs develops AI solutions specifically for the semiconductor manufacturing industry. Their technology focuses on process monitoring and optimization, utilizing machine-generated data to enhance factory intelligence and efficiency. By improving production quality and reducing downtime, Gauss Labs helps semiconductor manufacturers operate more effectively. Unlike many competitors, Gauss Labs tailors its AI infrastructure and software products to meet the unique needs of the manufacturing sector. The company's goal is to transform manufacturing processes through advanced AI, making factories smarter and more efficient.
California City, CaliforniaHeadquarters
2020Year Founded
$53.5MTotal Funding
LATE_VCCompany Stage
Industrial & Manufacturing, AI & Machine LearningIndustries
51-200Employees