AI Scientist - Machine Learning (US) at Gauss Labs

Palo Alto, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Data Science, Research & DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Deep LearningSequence ModelingTime-Series ForecastingTransformer ArchitecturesPythonPyTorchTensorFlowJAXStatisticsOptimizationSignal ProcessingHybrid ModelingHandling Noisy/Sparse/Irregular Data

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This is an onsite position.

What is the salary for this AI Scientist role?

This information is not specified in the job description.

What are the key skills required for this role?

Key requirements include 3+ years of hands-on experience in deep learning, strong focus on sequence modeling and time-series forecasting, in-depth expertise in Transformer architectures, proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX, and a strong publication track record in top-tier ML conferences.

What is the team structure like for this position?

You will join the growing AI R&D team and work closely with cross-functional teams including data scientists, engineers, product managers, and software engineers, with opportunities to mentor junior team members.

What makes a strong candidate for this AI Scientist position?

A strong candidate holds a Ph.D. or Master’s in Computer Science, Machine Learning, or related field, has practical R&D experience with a track record of impactful publications in top conferences like NeurIPS or ICML, and experience deploying ML models in production.

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

Benefits

Competitive compensation + meaningful equity

Generous PTO policy

Comprehensive wellbeing benefits

Paid family leaves

L&D opportunities

Additional benefits unique to each site

Risks

Increased competition from established AI companies like Siemens and GE.

Potential over-reliance on SK hynix as a major client.

Rapid technological advancements could lead to obsolescence if innovation lags.

Differentiation

Gauss Labs specializes in AI solutions for semiconductor manufacturing, a niche market.

Their Panoptes VM 2.0 offers real-time, all-wafer measurement data, enhancing process efficiency.

The leadership team has deep expertise in AI, with experience from companies like Skytree.

Upsides

AI-driven predictive maintenance is gaining traction, aligning with Gauss Labs' focus.

AI-based virtual metrology adoption is increasing, benefiting Gauss Labs' Panoptes VM.

Demand for AI solutions in semiconductor manufacturing is expected to grow at 40% CAGR.

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