Senior Software Engineer, Vision Language Models
MotionalSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data Science, StartupIndustries
Requirements
Candidates should possess 2 to 5 years of industry experience in deep learning, with a focus on computer vision and diffusion modeling, and prior experience in representation learning and end-to-end ML application development including data engineering, model tuning, and model serving.
Responsibilities
As an MTS at Advex, you will conduct research on OOD generalization and controllability problems for generative models, contribute heavily to the architectural roadmap for the Advex platform, and help scale the research to impact millions of lives, working closely with the founder to achieve these goals while embodying the company's values of Extreme Ownership, Fierce Velocity, The Best Part is No Part, Epsilon Greedy, Customer Obsessed, Feedback is the breakfast of champions, and Argmax (team).
Skills
Deep Learning
Computer Vision
Diffusion Modeling
Representation Learning
End-to-End ML Development
Data Engineering
Model Tuning
Model Serving
Research
Architectural Design
Pear VC
Venture capital firm for early-stage startups
About Pear VC
Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.
Key Metrics
San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees