LLM Platform Engineer
WhatNot$225,000 - $320,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, AI & Machine Learning, Natural Language ProcessingIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, this is a remote position.
What is the salary for this role?
This information is not specified in the job description.
What technical skills are required for this Machine Learning Engineer role?
Required skills include strong understanding of transformer architectures and modern LLM frameworks (BERT, GPT, T5), extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX), strong Python programming skills, and proficiency with ML tools (Hugging Face, DeepSpeed). Experience with distributed training systems (Megatron) and optimization techniques is preferred.
What experience and education are needed for this position?
Candidates need a Master’s or Ph.D. in Computer Science, AI, or related field, plus 5+ years of experience in machine learning with a focus on NLP and LLMs.
What kind of collaboration is expected in this role?
The role requires collaboration with cross-functional teams to apply LLM capabilities in various business scenarios, such as materials science.
PatSnap
Intellectual property and innovation intelligence platform
About PatSnap
PatSnap offers a platform that helps businesses, inventors, and researchers understand patents and innovation. Its main product aggregates and analyzes data from patents, scientific literature, and market reports, enabling clients to make informed decisions about their R&D investments. PatSnap operates on a subscription model, providing various service tiers and educational courses to empower clients in leveraging their innovation data. The company's goal is to help clients drive business growth and maintain a competitive edge through effective use of intellectual property.
Singapore, SingaporeHeadquarters
2007Year Founded
$342MTotal Funding
SERIES_ECompany Stage
Data & Analytics, Consulting, EducationIndustries
501-1,000Employees
Benefits
Paid Vacation
Unlimited Paid Time Off
Mental Health Support
Parental Leave
Life Insurance
Private Healthcare
Private Pension
RRSP Contribution Matching
Eyecare Voucher Scheme
WFH Stipend
Cycle To Work scheme
Company Equity
Paid Volunteering Days
Risks
UK lawtech startups' growth could threaten PatSnap's market share by 2026.
Cultural resistance to legal tech may limit PatSnap's effectiveness in some companies.
Expansion in Japan may face challenges due to current minimal revenue share.
Differentiation
PatSnap integrates generative AI into R&D, enhancing drug discovery timelines.
The platform aggregates data from patents, literature, and market reports for comprehensive insights.
PatSnap's subscription model ensures steady revenue and continuous platform enhancement.
Upsides
Expansion in Japan aims to boost revenue contribution to 10% from a minimal share.
Collaboration with BizInt Smart Charts enhances data integration and patent intelligence access.
CoPilot AI assistant improves IP and R&D workflows, increasing user efficiency.
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