Get AI-powered advice on this job and more exclusive features. Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions. You have 1-3 years of experience in machine learning development, working with Python and building ML models You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems You have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques You prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction Problem-solver who navigates the unknown confidently Proactive self-starter who thrives in dynamic settings Incredibly intelligent and clever. You take pride in your models Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level Responsibilities Model Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space ML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases Data Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data Advanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space ML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovation Model Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations Performance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliability Experimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases Hybrid in SF. In office 3 days/week Flexible PTO Smart, genuine, ambitious team Salary Range: $150k - $225k + Equity - 0.05% - 0.25% Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Baselayer by 2x.
04/02/2026
Full time
Get AI-powered advice on this job and more exclusive features. Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions. You have 1-3 years of experience in machine learning development, working with Python and building ML models You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems You have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques You prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction Problem-solver who navigates the unknown confidently Proactive self-starter who thrives in dynamic settings Incredibly intelligent and clever. You take pride in your models Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level Responsibilities Model Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space ML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases Data Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data Advanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space ML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovation Model Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations Performance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliability Experimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases Hybrid in SF. In office 3 days/week Flexible PTO Smart, genuine, ambitious team Salary Range: $150k - $225k + Equity - 0.05% - 0.25% Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Baselayer by 2x.
A technology company in San Francisco is seeking an entry-level Machine Learning Engineer to develop cutting-edge AI solutions. Candidates should have 1-3 years in machine learning, with strong Python skills and a foundation in AI/ML, particularly LLMs. The role involves building and maintaining ML models and infrastructure while emphasizing responsible AI practices. The company offers a competitive salary range of $150k-$225k, equity, and a hybrid work environment with flexible PTO.
04/02/2026
Full time
A technology company in San Francisco is seeking an entry-level Machine Learning Engineer to develop cutting-edge AI solutions. Candidates should have 1-3 years in machine learning, with strong Python skills and a foundation in AI/ML, particularly LLMs. The role involves building and maintaining ML models and infrastructure while emphasizing responsible AI practices. The company offers a competitive salary range of $150k-$225k, equity, and a hybrid work environment with flexible PTO.
About Baselayer: With experience across far-ranging banks, Fortune 500 tech co's, fintech unicorns , and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable data scientist working with cutting-edge AI/ML technologies. You have 1-3 years of experience in data science, working with Python and building data-driven models You're comfortable working with large-scale datasets and enjoy extracting meaningful insights from complex information You have a strong foundation in statistics and machine learning, with particular interest in applying advanced techniques to real-world problems You prioritize data integrity and ethical considerations, especially when working with sensitive information in regulated environments like KYC/KYB You have a keen eye for detail and take pride in creating clear, interpretable analyses while optimizing for actionable insights You thrive in a high-trust, ownership-focused environment and are comfortable translating between technical concepts and business objectives Problem-solver who navigates ambiguous data challenges confidently Proactive self-starter who thrives in dynamic settings Incredibly intelligent and analytical. You take pride in your data-driven solutions Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level Responsibilities: Data Analysis & Insight Generation: Conduct comprehensive analyses of large datasets to extract actionable insights that drive business decisions in the GTM and identity verification space Predictive Modeling: Develop statistical and machine learning models to identify patterns, predict outcomes, and optimize processes for KYC/KYB workflows Data Pipeline Development: Collaborate with engineering teams to design and implement efficient data pipelines that transform raw data into useful features for analysis and modeling AI/ML Application: Work closely with ML engineers to apply advanced techniques including LLMs to solve specific business problems within the identity verification domain Experiment Design & Evaluation: Design and execute experiments to validate hypotheses, measure impact of changes, and continuously improve data science solutions Data Visualization & Communication: Create clear, compelling visualizations and presentations that effectively communicate complex findings to technical and non-technical stakeholders Feature Engineering: Identify and develop innovative features from raw data sources to enhance model performance and enable new capabilities Performance Monitoring: Establish metrics and monitoring systems to track the effectiveness of data science solutions, identifying opportunities for refinement and optimization Research & Innovation: Stay current with the latest research and techniques in data science and machine learning, evaluating new approaches for potential application to business challenges Benefits: Hybrid in SF. In office 3 days/week Flexible PTO Healthcare, 401K Smart, genuine, ambitious team Salary Range: $122k - $167k + Equity - 0.05% - 0.25%
04/02/2026
Full time
About Baselayer: With experience across far-ranging banks, Fortune 500 tech co's, fintech unicorns , and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable data scientist working with cutting-edge AI/ML technologies. You have 1-3 years of experience in data science, working with Python and building data-driven models You're comfortable working with large-scale datasets and enjoy extracting meaningful insights from complex information You have a strong foundation in statistics and machine learning, with particular interest in applying advanced techniques to real-world problems You prioritize data integrity and ethical considerations, especially when working with sensitive information in regulated environments like KYC/KYB You have a keen eye for detail and take pride in creating clear, interpretable analyses while optimizing for actionable insights You thrive in a high-trust, ownership-focused environment and are comfortable translating between technical concepts and business objectives Problem-solver who navigates ambiguous data challenges confidently Proactive self-starter who thrives in dynamic settings Incredibly intelligent and analytical. You take pride in your data-driven solutions Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level Responsibilities: Data Analysis & Insight Generation: Conduct comprehensive analyses of large datasets to extract actionable insights that drive business decisions in the GTM and identity verification space Predictive Modeling: Develop statistical and machine learning models to identify patterns, predict outcomes, and optimize processes for KYC/KYB workflows Data Pipeline Development: Collaborate with engineering teams to design and implement efficient data pipelines that transform raw data into useful features for analysis and modeling AI/ML Application: Work closely with ML engineers to apply advanced techniques including LLMs to solve specific business problems within the identity verification domain Experiment Design & Evaluation: Design and execute experiments to validate hypotheses, measure impact of changes, and continuously improve data science solutions Data Visualization & Communication: Create clear, compelling visualizations and presentations that effectively communicate complex findings to technical and non-technical stakeholders Feature Engineering: Identify and develop innovative features from raw data sources to enhance model performance and enable new capabilities Performance Monitoring: Establish metrics and monitoring systems to track the effectiveness of data science solutions, identifying opportunities for refinement and optimization Research & Innovation: Stay current with the latest research and techniques in data science and machine learning, evaluating new approaches for potential application to business challenges Benefits: Hybrid in SF. In office 3 days/week Flexible PTO Healthcare, 401K Smart, genuine, ambitious team Salary Range: $122k - $167k + Equity - 0.05% - 0.25%
A forward-thinking financial tech company in San Francisco is seeking a Data Scientist to leverage AI/ML technologies for fraud prevention and compliance. The ideal candidate will have 1-3 years of experience in data science and a strong foundation in statistics and machine learning, working closely with large datasets to derive insights. This role offers competitive compensation within a dynamic, collaborative environment, with hybrid work arrangements.
04/02/2026
Full time
A forward-thinking financial tech company in San Francisco is seeking a Data Scientist to leverage AI/ML technologies for fraud prevention and compliance. The ideal candidate will have 1-3 years of experience in data science and a strong foundation in statistics and machine learning, working closely with large datasets to derive insights. This role offers competitive compensation within a dynamic, collaborative environment, with hybrid work arrangements.
Backend Engineer Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About You You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable core/api backend engineer. Qualifications You have 2-5 years of experience in backend development, working with Python and building APIs You're comfortable working with large scale data and enjoy optimizing performance for high volume systems. You have a strong interest in AI/ML integration, particularly with LLMs, and are eager to learn about new technologies. You prioritize security and compliance in backend systems, especially in regulated environments like KYC/KYB. You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for performance. You thrive in a high trust, ownership focused environment and are comfortable working across different levels of abstraction. Problem solver who navigates the unknown confidently. Proactive self starter who thrives in dynamic settings. Incredibly intelligent and clever. You take pride in your code. Highly feedback oriented. We believe in radical candor and using feedback to get to the next level. Responsibilities API Development & Integration: Build and maintain RESTful APIs and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space. Backend System Design: Architect and design core backend services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases. Data Processing & Management: Develop and maintain robust data pipelines for identity data processing, focusing on scalability and performance when handling large scale, high performance data flows. AI/ML Integration: Collaborate with AI/ML teams to integrate models, including reinforcement learning from human feedback (RLHF) and fine tuning (e.g., LoRA), to improve LLMs for specific use cases within the identity space. Platform Infrastructure: Build the infrastructure to support future AI/ML hires and projects, creating a scalable platform foundation for continued innovation. Security & Compliance: Ensure backend systems meet industry standards for security, privacy, and compliance, particularly around KYC/KYB regulations. Performance Optimization: Implement optimizations for large scale data management, ensuring backend services can efficiently process identity data while maintaining reliability. Testing & Debugging: Write unit tests, debug issues, and monitor backend services for performance and reliability, while continuously improving backend architecture to handle diverse data and use cases. Benefits Hybrid in SF. In office 3 days/week Flexible PTO Smart, genuine, ambitious team Salary Range $147k - $192k + Equity - 0.05% - 0.25% Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Technology, Information and Internet
04/02/2026
Full time
Backend Engineer Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About You You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable core/api backend engineer. Qualifications You have 2-5 years of experience in backend development, working with Python and building APIs You're comfortable working with large scale data and enjoy optimizing performance for high volume systems. You have a strong interest in AI/ML integration, particularly with LLMs, and are eager to learn about new technologies. You prioritize security and compliance in backend systems, especially in regulated environments like KYC/KYB. You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for performance. You thrive in a high trust, ownership focused environment and are comfortable working across different levels of abstraction. Problem solver who navigates the unknown confidently. Proactive self starter who thrives in dynamic settings. Incredibly intelligent and clever. You take pride in your code. Highly feedback oriented. We believe in radical candor and using feedback to get to the next level. Responsibilities API Development & Integration: Build and maintain RESTful APIs and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space. Backend System Design: Architect and design core backend services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases. Data Processing & Management: Develop and maintain robust data pipelines for identity data processing, focusing on scalability and performance when handling large scale, high performance data flows. AI/ML Integration: Collaborate with AI/ML teams to integrate models, including reinforcement learning from human feedback (RLHF) and fine tuning (e.g., LoRA), to improve LLMs for specific use cases within the identity space. Platform Infrastructure: Build the infrastructure to support future AI/ML hires and projects, creating a scalable platform foundation for continued innovation. Security & Compliance: Ensure backend systems meet industry standards for security, privacy, and compliance, particularly around KYC/KYB regulations. Performance Optimization: Implement optimizations for large scale data management, ensuring backend services can efficiently process identity data while maintaining reliability. Testing & Debugging: Write unit tests, debug issues, and monitor backend services for performance and reliability, while continuously improving backend architecture to handle diverse data and use cases. Benefits Hybrid in SF. In office 3 days/week Flexible PTO Smart, genuine, ambitious team Salary Range $147k - $192k + Equity - 0.05% - 0.25% Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Technology, Information and Internet
A business identity solutions firm in San Francisco seeks a Backend Engineer. This full-time role involves API development, backend system design, and AI/ML integration, focusing on security and performance within a hybrid work environment. Candidates should possess 2-5 years of backend development experience, proficiency in Python, and a strong interest in innovative technologies. The salary ranges from $147k to $192k, complemented by equity.
04/02/2026
Full time
A business identity solutions firm in San Francisco seeks a Backend Engineer. This full-time role involves API development, backend system design, and AI/ML integration, focusing on security and performance within a hybrid work environment. Candidates should possess 2-5 years of backend development experience, proficiency in Python, and a strong interest in innovative technologies. The salary ranges from $147k to $192k, complemented by equity.