The job market for AI and ML is growing, with top companies on the lookout for talented professionals. Whether you're an experienced engineer or just starting out, these roles offer the chance to work on AI technologies and make a big impact in the tech world. In this article, we spotlight exciting job opportunities at Captions, Nethermind, Risk Labs, Scale AI, and Hike. Each company offers unique roles that can help you grow your career in AI and ML.
Data Scientist, Optimization/ML at Captions
About the Company: Captions is an AI-powered creative studio helping millions of creators enhance their video content. Backed by top investors like Kleiner Perkins and Sequoia Capital, Captions aims to empower the next billion creators. They are located in Union Square, New York City.
Responsibilities:
- Partner with other scientists and cross-functional teams to frame problems mathematically.
- Develop and implement statistical, machine learning, or optimization models.
- Write production model code and collaborate with software engineers.
- Design and analyze experiments, and communicate findings.
Qualifications:
- PhD in a quantitative field with a focus on optimization and machine learning.
- Proficiency in Python and SQL.
- Strong communication skills and ability to work in a team.
Benefits:
- Comprehensive medical, dental, and vision plans.
- 401K with employer match.
- Team off-sites and equal employment opportunities.
Location: Union Square, New York City Compensation: $160K - $220K
AI/ML Engineer at Nethermind
About the Company: Nethermind empowers enterprises and developers to build on decentralized systems, covering domains like Ethereum protocol engineering, cryptography research, and DeFi. They have a global team of 350+ members.
Responsibilities:
- Research, design, and develop LLM-based solutions.
- Experiment with the latest AI tools and technologies.
- Collaborate with top engineers and researchers.
- Stay updated with AI/ML developments.
Skills:
- Proficiency in programming languages like Python.
- Strong software architecture and engineering process knowledge.
- Research-oriented mindset and ability to write maintainable code.
Nice to Have:
- Experience with LLMs and vector databases.
- Knowledge of blockchain, cryptography, or mathematical concepts.
Location: Remote, APAC
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Sr. Data Engineer at Risk Labs
About the Company: Risk Labs, the team behind UMA and Across protocols, focuses on decentralized protocols governed by DAOs. They aim to provide data-driven decisions through well-designed data infrastructure.
Responsibilities:
- Design systems for indexing complex onchain data.
- Develop large-scale data pipelines.
- Collaborate in an open-source ecosystem.
- Review and design clean, secure code.
Requirements:
- 4+ years of experience in Data Engineering.
- Proficiency in Python, Solidity, and Typescript.
- Strong communication and collaboration skills.
Compensation: $100K - $200K, with token options
Full Stack Engineer, International Public Sector at Scale AI
About the Company: Scale AI provides high-quality training data and builds custom LLMs for enterprises, startups, and governments. The Global International Public Sector team focuses on expanding Scale's work outside the US.
Responsibilities:
- Build and maintain full-stack applications.
- Collaborate with customers and cross-functional teams.
- Ensure high performance and responsiveness.
- Travel to client sites in the Middle East region.
Qualifications:
- Strong engineering background with a Bachelor's degree.
- Proficiency in Python, Node, React, Next.js, and MongoDB.
- Ability to travel and work on-site with clients.
Sr. ML Engineer at Hike
About the Company: Hike focuses on building deep learning models for computer vision, graphics, and audio. They aim to create high-quality user experiences through AI.
Responsibilities:
- Develop and deploy deep learning models.
- Optimize ML pipelines for real-time inference.
- Collaborate with cross-functional teams.
- Own end-to-end quality and performance metrics.
Skills:
- 3+ years of relevant industry experience.
- Proficiency in Python and deep learning frameworks.
- Experience with LLMs and generative AI applications.
These roles offer exciting opportunities to work with top companies in the AI and ML space. Whether you're into data science, AI/ML engineering, or full-stack development, these positions let you make a big impact. Don't miss the chance to join these innovative teams and advance your career in AI and ML.
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