MLabs
San Francisco, California
Machine Learning Engineer, AI Decisioning (Full-time) Location: Remote (North America) / San Francisco (Optional) Salary Range: $200,000 - $260,000 USD We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages. A lot of this crucial decision making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step function impact for our customers. Given our access to first party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source. Your responsibilities will include working on complex problems such as: Personalization and Product Recommendation: Designing and implementing models to personalize messages and content (including product catalogs) to ensure the most relevant content is delivered to each individual user Automated Experimentation: Developing intelligent systems to help customers efficiently navigate and automate A/B testing and experimentation across a vast number of messaging options Predictive Audiences: Building robust models to predict customer actions, such as conversion, churn, or other desired behaviors, to create targeted audiences Content Generation: Leveraging recent advancements in Large Language Models (LLMs) to help marketers generate compelling text, images, and creative assets Budget Optimization: Creating analytical tools and models to assess which marketing spend drives the most incremental conversions and identifies where the marginal Customer Acquisition Cost (CAC) is lowest Requirements Experience: 5 - 15 years of professional experience in machine learning and software development Domain Expertise: Deep understanding and practical experience building and deploying machine learning models, particularly in areas like personalization, recommendation systems, time series analysis, or optimization Technical Skills: Strong software engineering fundamentals and experience working with large scale data warehouses/databases Communication: Excellent communication skills with the ability to articulate complex technical concepts to both technical and non technical stakeholders Mindset: A strong first principles thinking approach to problem solving, a growth mindset, and a motivated, persistent approach to achieving goals Benefits Competitive Compensation: Highly competitive salary in the range of $200K - $260K USD Equity: Competitive equity package in a high growth company with a recent $1.2B valuation, backed by leading investors Visa Sponsorship: Visa sponsorship is available for qualified candidates Work Flexibility: Full time, remote position supporting work across North America Impact: The opportunity to make a meaningful impact by defining the future of AI powered customer data activation Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .
Machine Learning Engineer, AI Decisioning (Full-time) Location: Remote (North America) / San Francisco (Optional) Salary Range: $200,000 - $260,000 USD We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages. A lot of this crucial decision making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step function impact for our customers. Given our access to first party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source. Your responsibilities will include working on complex problems such as: Personalization and Product Recommendation: Designing and implementing models to personalize messages and content (including product catalogs) to ensure the most relevant content is delivered to each individual user Automated Experimentation: Developing intelligent systems to help customers efficiently navigate and automate A/B testing and experimentation across a vast number of messaging options Predictive Audiences: Building robust models to predict customer actions, such as conversion, churn, or other desired behaviors, to create targeted audiences Content Generation: Leveraging recent advancements in Large Language Models (LLMs) to help marketers generate compelling text, images, and creative assets Budget Optimization: Creating analytical tools and models to assess which marketing spend drives the most incremental conversions and identifies where the marginal Customer Acquisition Cost (CAC) is lowest Requirements Experience: 5 - 15 years of professional experience in machine learning and software development Domain Expertise: Deep understanding and practical experience building and deploying machine learning models, particularly in areas like personalization, recommendation systems, time series analysis, or optimization Technical Skills: Strong software engineering fundamentals and experience working with large scale data warehouses/databases Communication: Excellent communication skills with the ability to articulate complex technical concepts to both technical and non technical stakeholders Mindset: A strong first principles thinking approach to problem solving, a growth mindset, and a motivated, persistent approach to achieving goals Benefits Competitive Compensation: Highly competitive salary in the range of $200K - $260K USD Equity: Competitive equity package in a high growth company with a recent $1.2B valuation, backed by leading investors Visa Sponsorship: Visa sponsorship is available for qualified candidates Work Flexibility: Full time, remote position supporting work across North America Impact: The opportunity to make a meaningful impact by defining the future of AI powered customer data activation Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .
MLabs
San Francisco, California
Senior Fullstack Engineer - DeFi Trading & Yield PlatformLocation: Remote - NYC or SF based candidates heavily preferred Compensation: $150K - $175K We are building the leading trading and yield platform for DeFi, founded by former industry leaders with deep expertise in algorithmic trading. Backed by top-tier institutional investors from both traditional finance and crypto, we are creating cutting-edge, crypto-native technology. We are seeking a Senior Fullstack Engineer excited to work on a complex backend managing billions of dollars in crypto transactions while delivering exceptional user experiences. You will have the opportunity to build across the entire stack, integrating multiple DeFi protocols and connecting with various blockchains. This role demands full ownership of features, requiring you to balance implementation speed with long-term quality and scalability. You will be a key player in shaping our success by designing and building systems capable of high-throughput execution. Key Responsibilities End-to-End Ownership: Own feature implementations completely, from the UI components down to the database schema Protocol Integration: Build systems for transacting and consuming on-chain data across multiple blockchains and their associated protocols (e.g., AMMs, on-chain order books, lending protocols) High-Throughput Design: Design, build, and test high-throughput execution components across the entire stack Deployment & Infrastructure: Manage deployment processes and infrastructure to maintain high uptime and deliver a high-quality, reliable product Collaboration: Collaborate with a small, high-impact team, actively contributing to product direction and technical architecture Requirements Experience: 3-5 years of professional experience in software engineering at a top-tier firm Core Stack: Strong, proven experience with Golang (Go) and React Domain Passion: Passionate about crypto and demonstrable familiarity with on-chain development and new protocols Technical Acumen: Ability to grasp the trade-off between implementation speed vs. long-term quality and dynamically adjust as needed Location/Timezone: Must be available to work within U.S. time zones Preferred Qualifications Office Preference: NYC-based and available for partial in-office work (preferred) Experience with on-chain order books, lending protocol integrations, or algorithmic trading systems Benefits Compensation: Competitive Base Salary ($150K - $175K) plus significant Equity / Token compensation package Impact: Join a small team at a pivotal stage, where your work will directly impact a platform managing billions of dollars in transactions Learning: Work on complex, cutting-edge crypto-native technology and continuously learn about new DeFi protocols Team: Opportunity to work alongside and learn from veterans in the space (former Coinbase employees and algorithmic trading experts) Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .
Senior Fullstack Engineer - DeFi Trading & Yield PlatformLocation: Remote - NYC or SF based candidates heavily preferred Compensation: $150K - $175K We are building the leading trading and yield platform for DeFi, founded by former industry leaders with deep expertise in algorithmic trading. Backed by top-tier institutional investors from both traditional finance and crypto, we are creating cutting-edge, crypto-native technology. We are seeking a Senior Fullstack Engineer excited to work on a complex backend managing billions of dollars in crypto transactions while delivering exceptional user experiences. You will have the opportunity to build across the entire stack, integrating multiple DeFi protocols and connecting with various blockchains. This role demands full ownership of features, requiring you to balance implementation speed with long-term quality and scalability. You will be a key player in shaping our success by designing and building systems capable of high-throughput execution. Key Responsibilities End-to-End Ownership: Own feature implementations completely, from the UI components down to the database schema Protocol Integration: Build systems for transacting and consuming on-chain data across multiple blockchains and their associated protocols (e.g., AMMs, on-chain order books, lending protocols) High-Throughput Design: Design, build, and test high-throughput execution components across the entire stack Deployment & Infrastructure: Manage deployment processes and infrastructure to maintain high uptime and deliver a high-quality, reliable product Collaboration: Collaborate with a small, high-impact team, actively contributing to product direction and technical architecture Requirements Experience: 3-5 years of professional experience in software engineering at a top-tier firm Core Stack: Strong, proven experience with Golang (Go) and React Domain Passion: Passionate about crypto and demonstrable familiarity with on-chain development and new protocols Technical Acumen: Ability to grasp the trade-off between implementation speed vs. long-term quality and dynamically adjust as needed Location/Timezone: Must be available to work within U.S. time zones Preferred Qualifications Office Preference: NYC-based and available for partial in-office work (preferred) Experience with on-chain order books, lending protocol integrations, or algorithmic trading systems Benefits Compensation: Competitive Base Salary ($150K - $175K) plus significant Equity / Token compensation package Impact: Join a small team at a pivotal stage, where your work will directly impact a platform managing billions of dollars in transactions Learning: Work on complex, cutting-edge crypto-native technology and continuously learn about new DeFi protocols Team: Opportunity to work alongside and learn from veterans in the space (former Coinbase employees and algorithmic trading experts) Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .
MLabs
San Francisco, California
Overview Be among the first 25 applicants. We're hiring founding and staff-level engineers at early-stage startups backed by world-class investors. Current opportunities include companies like Meridian, Architect, Basic Capital, and Remy. These roles are high-impact positions where you'll work directly with founders, shape technical direction, and play a major role in scaling new ventures. If you're entrepreneurial and want to help build from the ground up, this is for you. Apply now to get direct access to our live board of open founding/staff roles and see all available opportunities or click this link: Benefits Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting . Details Seniority level: Entry level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at MLabs by 2x. Get notified about new Staff Engineer jobs in San Francisco, CA. Current Roles Software Engineer, Fullstack, Early Career - San Francisco, CA: $126,000.00-$180,000.00 (2 weeks ago) Software Engineer, Fullstack, Early Career - San Francisco, CA: $160,000.00-$180,000.00 (2 weeks ago) Software Engineer, Fullstack, Early Career - San Francisco, CA: $122,100.00-$134,400.00 (3 weeks ago) Software Engineer, Infrastructure, Early Career - San Francisco, CA: $126,000.00-$170,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $99,500.00-$200,000.00 (4 days ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$177,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$230,000.00 (5 months ago) Software Engineer, Infrastructure - San Francisco, CA: $120,000.00-$160,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $99,500.00-$200,000.00 (1 day ago) Software Engineer, Infrastructure - San Francisco, CA: $89,547.50-$150,500.00 (6 days ago) Software Engineer, Infrastructure - San Francisco, CA: $180,000.00-$280,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$250,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$176,000.00 (4 months ago) Software Engineer, Infrastructure - San Francisco, CA: $57.00-$61.00 (3 days ago) Software Engineer, Infrastructure - San Francisco, CA: $163,200.00-$223,200.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $120,000.00-$190,000.00 (10 months ago) Software Engineer, Infrastructure - San Francisco, CA: $57.00-$61.00 (3 days ago) Software Engineer, Infrastructure - San Francisco, CA: $105,000.00-$160,000.00 (2 weeks ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $130,000.00-$185,000.00 (4 months ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $140,000.00-$280,000.00 (10 months ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $150,000.00-$250,000.00 (12 months ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $165,000.00-$165,000.00 (2 years ago) Internships Software Engineer Internship / Co-op, Applied Emerging Talent (Summer 2026) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Overview Be among the first 25 applicants. We're hiring founding and staff-level engineers at early-stage startups backed by world-class investors. Current opportunities include companies like Meridian, Architect, Basic Capital, and Remy. These roles are high-impact positions where you'll work directly with founders, shape technical direction, and play a major role in scaling new ventures. If you're entrepreneurial and want to help build from the ground up, this is for you. Apply now to get direct access to our live board of open founding/staff roles and see all available opportunities or click this link: Benefits Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting . Details Seniority level: Entry level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at MLabs by 2x. Get notified about new Staff Engineer jobs in San Francisco, CA. Current Roles Software Engineer, Fullstack, Early Career - San Francisco, CA: $126,000.00-$180,000.00 (2 weeks ago) Software Engineer, Fullstack, Early Career - San Francisco, CA: $160,000.00-$180,000.00 (2 weeks ago) Software Engineer, Fullstack, Early Career - San Francisco, CA: $122,100.00-$134,400.00 (3 weeks ago) Software Engineer, Infrastructure, Early Career - San Francisco, CA: $126,000.00-$170,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $99,500.00-$200,000.00 (4 days ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$177,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$230,000.00 (5 months ago) Software Engineer, Infrastructure - San Francisco, CA: $120,000.00-$160,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $99,500.00-$200,000.00 (1 day ago) Software Engineer, Infrastructure - San Francisco, CA: $89,547.50-$150,500.00 (6 days ago) Software Engineer, Infrastructure - San Francisco, CA: $180,000.00-$280,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$250,000.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $150,000.00-$176,000.00 (4 months ago) Software Engineer, Infrastructure - San Francisco, CA: $57.00-$61.00 (3 days ago) Software Engineer, Infrastructure - San Francisco, CA: $163,200.00-$223,200.00 (2 weeks ago) Software Engineer, Infrastructure - San Francisco, CA: $120,000.00-$190,000.00 (10 months ago) Software Engineer, Infrastructure - San Francisco, CA: $57.00-$61.00 (3 days ago) Software Engineer, Infrastructure - San Francisco, CA: $105,000.00-$160,000.00 (2 weeks ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $130,000.00-$185,000.00 (4 months ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $140,000.00-$280,000.00 (10 months ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $150,000.00-$250,000.00 (12 months ago) Software Engineer, Frontend (All Levels) - San Francisco, CA: $165,000.00-$165,000.00 (2 years ago) Internships Software Engineer Internship / Co-op, Applied Emerging Talent (Summer 2026) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.