Magento Developer Salary at Toptal Llc BETA

Summary: Seed startup (valued $100M+) is looking to hire their 2nd Machine Learning Engineer. Our target profile will have 5+ years relevant industry experience with hands-on experience in Generative AI: Qualifications: LLM Frameworks: Demonstrated expertise working with Large Language Models such as OpenAI’s GPT series (GPT-3, GPT-4)--including model integration, customization, and optimization within diverse applications. LLM Fine-Tuning and Transfer Learning: Proven experience in fine-tuning LLMs for specific tasks or industries, including the use of transfer learning techniques to adapt pre-trained models to new domains or requirements. Data Handling Skills: Proficiency in handling, processing, and analyzing large datasets. Familiarity with data preprocessing techniques and tools (e.g., Pandas in Python) is crucial. Note: Due to the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a potential match is identified with one of o

Skyfire is a payment platform designed for the emerging machine economy, where AI and machines need to transact seamlessly and autonomously. It addresses the limitations of current financial systems by enabling instant, global, and micropayments specifically tailored for AI and machine interactions. By leveraging stablecoins and blockchain technology, Skyfire offers a scalable and efficient solution for AI to pay for APIs, data, and services, as well as for enterprises to automate micropayments. With a strong team experienced in payments and a strategic go-to-market plan, Skyfire aims to become the financial backbone of the rapidly growing machine economy. WHAT YOU’LL DO Design and develop core components of the Skyfire payment platform, including smart contract interactions, payment processing logic, and API integrations. Implement scalable and secure blockchain solutions for on-chain machine payments, ensuring high throughput and low latency. Collaborate with the product team to tran

Summary: Agentic AI startup is looking to bring on a "hands on" Head of AI to act as the pillar of machine learning for the company (both internally and externally), while leading and growing a small team of high-performing MLE's and Applied Research Scientists. Priority given to highly-technical candidates with strong academic foundations who have exhibited strong leadership skills in market-leading companies and/or unicorn startups. Qualifications: BS, MS, or PhD degree in CS, AI, or applied math with 8+ years of industry experience building AI/ML products via model training and/or fine-tuning Strong understanding of deep learning AI/ML frameworks Passion for deeply understanding customer needs At least 1 years of experience with the integration of software engineering with large language models Ability to navigate and solve open-ended technological challenges in a fast-evolving AI landscape Excellent collaboration skills, with the ability to work effectively with both internal teams

Greylock has a proven history of investing in category-defining consumer companies such as Discord, Facebook, Instagram, and (Musical.ly)TikTok. We’re excited to back a new startup founded by seasoned entrepreneurs who have previously built and scaled a billion-dollar consumer company with over 10 million users. This is a unique opportunity to join a seasoned, consumer-focused team as a founding engineer—a role that blends technical expertise, an entrepreneurial mindset, and adaptability. It’s an ideal position for someone aspiring to start their own company in the future but hasn’t yet found the right idea. This experience will provide a front-row seat to shaping a company’s technology, culture, and long-term success, offering invaluable insights. The ideal candidate has at least 5 years of industry experience, preferably as a full-stack engineer. However, I'm equally open to individuals with a spike in front or backend development. While familiarity with React Native is a plus, it’s

Summary: Seed investment (agentic AI + social networking) looking to hire their first Machine Learning Engineer. Priority given to candidates with 5+ years of industry experience with strong academic foundations who have worked on sophisticated AI technology/products at scale. In addition to a strong background in deep learning, we looking for candidates with 1+ years of hands-on industry exp with Generative AI / LLM's (fine tuning/RAG/etc.). More details to be supplied to qualified candidates. About Greylock: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/ About the Greylock Recruiting Team: As full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to active and upcoming investments to help them grow/succeed (as one of the many services we pro

TDengine has demonstrated the viability of its flagship product with 250+ paying customers, with a number of large enterprises among them. It also enjoys the support of an enthusiastic developer and user community. Based on such strong validation we plan to invest heavily to capture the market opportunities and are confident in the fact that our quantum leap in performance and storage efficiency will win over customers effectively. At the same time, we would not want to trivialize the efforts needed and challenges to be faced in such an endeavor. Role Overview: We are seeking a highly skilled and motivated Solution Architect to join our growing team. As a Solution Architect, you will work closely with customers, partners, and internal teams to design and implement innovative solutions using TDengine. Your primary goal will be to help customers maximize the value of our platform while addressing their specific use cases and technical challenges. Responsibilities: Solution Design and Arc

About Us Infactory unlocks the full potential of enterprise data in the AI age by transforming it into trusted, natural conversations. Our proprietary Unique Query Methodology (UQM) turns raw data into refined insights enterprises can confidently use for critical decision-making, without extensive AI resources or months of development. Our Values Radical Excellence: We pursue excellence relentlessly, taking pride in our craft and always delivering solutions that meet the highest standards. Authentic Leadership: We build trust through transparency and self-awareness, valuing honest dialogue and diverse perspectives. Mission-Driven Innovation: We focus on breakthroughs that advance our core purpose, embracing experimentation and calculated risks to drive meaningful change. Collaborative Growth: We elevate each other through active partnership and mutual support, believing that success is measured by how we help others grow. Pragmatic Ambition: We dream big but pursue goals with careful p

About Rainbow Rainbow is a fully digital insurance company focused on small businesses. We started in early 2022 but have experienced massive growth over the last year. We've over 3x in revenue, expanded our offerings, and have raised our Series A from leading investors in the space. We develop our own unique insurance products from the ground up, combining them with software that automates the process of getting covered and filing claims. We also provide business owners with tools to help them operate with less risk. Our founding team has a proven track record in Insurtech and product development, having previously built a startup that scaled to 50 employees, served the largest insurance companies in the world, and raised over $40M in venture capital. At Rainbow, we are dedicated to building a world-class product and engineering culture in the Bay Area. While we trust our team to get their work done, we encourage in-person collaboration a few days per week to foster team building and