ESR Healthcare

Senior Software Engineer (BE) - Payment San Jose, California, United States Innovate with purpose Make your impact within a rapidly growing Fintech Company. Our payment teams are at the forefront of building key components for our platform to support our payment business. We work collaboratively with peer developers, product managers, designers, architects, data scientists, and various business partners to define and develop low-friction, high-precision systems that protect our customers and vendors. We are seeking a strong, passionate engineer to join our team. In this role, you will enhance our platform, which is critical to the livelihood of small and medium-sized businesses (SMBs), while also unlocking revenue growth. We'd love to chat if you have: Bachelor's degree in Computer Science, Engineering, or a related field. At least 5 years of experience in software engineering. Proven experience in leading the design and implementation of scalable SaaS applications in Java. Expertise in building and maintaining large-scale, high-volume, high-availability, low-latency systems. Strong understanding of security, compliance, and regulatory requirements. Demonstrated experience in the payment industry or in developing fraud detection applications. Proficiency in version control, code reviews, testing, and deployment automation. Ability to mentor and guide other engineers in best practices and advanced technical concepts. Experience with machine learning model integration and data pipeline design. Bonus: Experience in front-end or full-stack development. The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. San Jose pay range: $148,800 - $178,500 USD

An innovative Fintech company is seeking a Senior Software Engineer to enhance their payment platform, vital for small and medium-sized businesses. In this role, you'll lead the design of scalable SaaS applications using Java, ensuring high availability and security. You'll collaborate with diverse teams to create low-friction systems that protect customers and vendors while unlocking revenue growth. This position offers the chance to make a significant impact in a rapidly growing industry, with a competitive salary and comprehensive benefits package. If you're passionate about technology and eager to mentor others, this opportunity is perfect for you.

Machine Learning Engineer - Infra San Francisco, CA The Opportunity We are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for enhancing the core features that power our machine learning initiatives. The ideal candidate will have deep experience building scalable software and infrastructure, while consistently adhering to corporate standards and best practices. What you'll do Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions. Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain. Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs. Document infrastructure designs, processes, and operational procedures. Mentor junior engineers and drive technical alignment and influence across teams. Who you are Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.). Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust). Strong experience with Git and repository management. Demonstrated ability to lead technical projects from conception to completion and deliver high quality, scalable, and reliable software. Excellent problem solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion. Strong communication and interpersonal skills to effectively collaborate with cross functional teams and influence technical decisions. Ability to thrive in a fast paced environment and adapt to evolving requirements while adhering to corporate guidelines. Preferred Extensive experience with large scale ML model platforms and tools. Deep understanding and experience with PyTorch implementation, especially regarding scaling inference performance. A history of significant contributions to open source projects or industry standards. Relocation benefits are available for this job posting The expected salary range for this position, based on the primary location of California, is $147,600 - 274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

A healthcare technology firm in San Francisco is seeking a Machine Learning Engineer to enhance drug discovery processes using innovative machine learning techniques. You will design and maintain reliable ML infrastructure and collaborate with cross-functional teams to meet infrastructure needs. The ideal candidate possesses a strong background in AWS, proficiency in Python, C++, and Git, along with excellent problem-solving skills. Competitive salary and relocation benefits are offered.

A leading technology company is looking for a Staff Software Engineer specializing in Machine Learning Safety to lead the Safety ML team. Candidates should have over 5 years of experience in ML engineering, including 2 years focusing on Trust & Safety. The role involves guiding technical strategy, collaborating cross-functionally, and developing high-impact ML solutions to improve platform safety. This full-time position offers a competitive salary ranging from $272,000 to $306,000 along with equity and benefits.

Credit Strategy Data Scientist - 575 San Jose, CA Experience level: Mid-senior Experience required: 3 Years Education level: Bachelor's degree Job function: Finance Industry: Financial Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions Design rules to detect/mitigate loss Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Drive results that maximize eligible customers while controlling losses Professional Experience/Background to be successful in this role: Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes. Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Bonus: Experience with AWS, payment rule systems, and knowledge of credit products. Expected Outcome in 6-12 months: Development of dashboard and visualizations to track KPI of credit strategies implemented Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers. Utilize data analysis to design and implement credit strategies Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Remote job Preferred Skills: Data analytics Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member). Team size: 5 team members, position will work closely with a senior team member at outset, role will largely focus on reporting, so experience with visualization and data storytelling is a plus. MUST HAVE: Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Experience with AWS, payment rule systems, and knowledge of credit products.

A financial services firm in California is seeking a Credit Strategy Data Scientist to lead projects in credit risk assessment and data analysis. You will design strategies, develop predictive algorithms, and communicate complex findings. The ideal candidate has a Bachelor's degree and at least 2 years of experience in risk analytics within the Fintech industry. This role offers a unique chance to work with a dynamic team and make significant impacts on credit strategies.

Staff Software Engineer, Machine Learning (Safety) San Francisco, CA Overview We are seeking an accomplished and experienced Staff Machine Learning Engineer - Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting edge solutions that improve safety on the platform. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Serve as the team's technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. Define and drive the Safety ML team's technical strategy and roadmap. Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high quality ML systems. Collaborate cross functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions. Tackle the most complex and high impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors. Develop cutting edge safety techniques, applying state of the art ML to detect and prevent harm while staying ahead of emerging abuse patterns. Influence the company's direction on safety, clearly communicating trade offs and technical constraints to senior leadership and stakeholders. What You Should Have 5+ years of experience in ML engineering or applied ML roles. 2+ years of experience applying ML in Trust & Safety to counter adversarial actors. Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow. Proven experience building performant machine learning systems at scale and having driven the execution of large, impactful projects from ideation to production. Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions. A growth mindset: seeking feedback, reflecting on decisions, and continuously improving. Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams. Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc.). Compensation The US base salary range for this full time position is $272,000 to $306,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Machine Learning Engineer SFO, CA (Hybrid) Duration: 1+ year Job Description: NOTE: Must be good in communication and technical skills + Minimum of 8 years of work experience needed. Role Overview We are seeking a skilled Machine Learning Engineer to design, develop, and deploy advanced AI/ML models, with a focus on Generative AI, RAG architectures, and large-scale machine learning applications. You will work on end-to-end ML pipelines, integrating state-of-the-art tools like OpenAI, Anthropic Claude, and vector databases to deliver high-quality solutions for real-world business challenges. Key Responsibilities Machine Learning, Generative AI & RAG Development: Build and fine-tune large language models (LLMs) using frameworks such as OpenAI GPT or Anthropic Claude. Design and implement RAG pipelines for scalable, real-time applications leveraging vector databases like Pinecone, Weaviate, Opensearch. Develop prompt engineering strategies to optimize model outputs for specific use cases. Design and deploy scalable ML models that integrate with existing systems. End-to-End ML Pipeline: Architect, train, and deploy machine learning pipelines for NLP and multimodal AI solutions. Conduct data preprocessing, feature engineering, and exploratory data analysis for training datasets. Optimize embeddings for semantic search and document retrieval tasks. Model Deployment & Optimization: Deploy ML models in production environments using cloud platforms like AWS SageMaker, ECS or equivalent tools. Ensure scalability, reliability, and low latency in production systems while monitoring model performance. Implement CI/CD pipelines for ML models using Docker, Kubernetes, MLflow. Ensure APIs and ML services handle high traffic with minimal latency. Security & Compliance: Ensure ML APIs follow best practices for authentication, authorization, and data privacy. Collaboration & Integration: Work closely with cross-functional teams including data scientists, software engineers, and product managers to align ML solutions with business objectives. Work with data engineers to design feature stores and streaming pipelines. Integrate ML outputs into enterprise systems while ensuring seamless user experiences. Research & Innovation: Stay updated on advancements in generative AI, LLMs, embeddings, and RAG technologies to enhance existing systems. Experiment with new algorithms and frameworks to drive innovation in AI-powered applications. Required Skills & Qualifications Technical Expertise: Minimum of 8 years of work experience with at least 4 years in Python; familiarity with frameworks like PyTorch, TensorFlow, and libraries like Hugging Face Transformers. Hands-on experience with LLMs (e.g., OpenAI GPT models, Anthropic Claude) and fine-tuning techniques. Strong understanding of RAG architectures and vector database integration (e.g., Opensearch, Pinecone, Weaviate). API Development: FastAPI, Flask, Django Containerization: Docker, AWS ECS, Kubernetes Cloud & Data Tools: Experience with cloud platforms such as AWS (SageMaker preferred), GCP Vertex AI, or Azure ML for deploying ML models. Familiarity with SQL or NoSQL databases for data extraction and preprocessing tasks. Problem-Solving Skills: Ability to design scalable solutions for complex problems involving unstructured data and large datasets. Strong analytical skills with a focus on optimizing ML workflows for performance and efficiency. Soft Skills: Excellent communication skills to collaborate effectively with technical and non-technical stakeholders. A passion for learning and staying ahead in the rapidly evolving field of artificial intelligence. Preferred Qualifications Experience building conversational AI systems or chatbots using generative AI technologies. Experience with building REST API using frameworks such as FastAPI. Experience with SQL and NoSQL database/store (Postgres, DynamoDB, Opensearch etc.) Knowledge of NLP techniques such as sentiment analysis, topic modeling, or summarization tasks. Familiarity with serverless architectures (e.g., AWS Lambda) or ECS for scalable ML deployment. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related fields.

An innovative firm is looking for a skilled Machine Learning Engineer to design and deploy advanced AI/ML models. This role focuses on Generative AI and RAG architectures, requiring expertise in building and optimizing large-scale ML applications. You will be responsible for end-to-end ML pipelines, working with cutting-edge tools and frameworks to solve real-world business challenges. If you are passionate about AI and eager to collaborate with cross-functional teams, this is the perfect opportunity to make a significant impact in a rapidly evolving field.

SAP S/4Hana Technical Integrator (4912-1) San Francisco, CA SAP S/4Hana / Satellite Systems / 3rd Party Systems / Public / Private Cloud / Central Systems, SAP S/4Hana Technical Integrator If you post this job on a job board, please do not use company name or salary. Experience level:Mid-senior Experience required:10 Years Education level:Bachelor's degree Job function:Information Technology Industry:Information Technology and Services Pay rate : $63 per hour Total position:1 Relocation assistance:No Visa sponsorship eligibility:No End Client - Supplier of high-grade refractory products, systems, and solutions Note : They are seeking experience with S4HANA public/private integration with SAP SaaS products and 3rd party applications involving CPI as middleware. Job Description: Lead / Coordinate / Plan overall integrations across multiple systems for SAP S/4HANA Cloud Greenfield Implementation Project. Collaborate / Coordinate with stakeholders. Define the target application landscape, ensuring alignment with business goals and IT strategies. Develop comprehensive architectural designs encompassing SAP S/4Hana / Satellite Systems / 3rd Party Systems / Public / Private Cloud / Central Systems. Design interim architectures to support implementation & transition strategies. Ensure architectural integrity & consistency across various projects and initiatives. Communicate / Stakeholder Management. Oversee the deployment of S/4HANA Public Solutions integrated with other systems. Coordinate with Streams / Project Managers / Technical Teams / Satellite System Owners / System Owners / Product Owners / etc. to ensure seamless implementation. Serve as Technical Integrator for SAP S/4Hana / Satellite Systems / 3rd Party Systems. This role is pivotal in coordinating, planning, and managing all systems in the ecosystem for successful implementation. Team Player and Team Management. Soft Skills: Good communication, presentation, and articulation skills.

An innovative firm in the recruiting space is seeking a Software Engineer to join their dynamic team. This role offers the chance to work with cutting-edge AI technology, transforming the hiring landscape. You'll be responsible for building end-to-end products, utilizing a robust tech stack including React.js and Next.js. Join a fast-paced environment where your contributions will directly impact millions and help shape the future of recruiting. If you're passionate about technology and eager to make a difference, this opportunity is for you.

Salesforce Developer (4591-1) San Francisco, CA Job Summary We are seeking an experienced Salesforce Developer with expertise in Salesforce CRM tools, Salesforce Cloud, DB Workbench, Einstein, Architecture, Design, and Jira. The ideal candidate will have extensive experience in customizing Salesforce functionalities, implementing solutions, and configuring security controls. Responsibilities Develop and customize Salesforce platform, including Sales Cloud, Service Cloud, and Marketing Cloud. Work with Field Service Lightning Configuration and Implementation. Design and develop custom solutions using Apex, Visualforce, and Lightning components. Configure security controls such as profiles, roles, sharing rules, and organization-wide defaults. Create Visualforce pages based on business requirements. Develop, execute, and document test cases for Salesforce applications. Provide insights and recommendations to improve business processes and ensure compliance with standards. Qualifications Expertise in Salesforce platform, including Sales Cloud, Service Cloud, and Experience Cloud. Strong understanding of Salesforce best practices and functionalities. Hands-on experience with customization, roles, sharing rules, Apex coding, and migration tools. Experience with Salesforce Communities setup, configuration, data security, and sharing. Ability to implement custom solutions using Apex, Visualforce, and Lightning components. Experience configuring security controls for applications. Bachelor's degree in a related field. Minimum 9 years of experience in a similar role. Additional Information Experience in working with Business Vertical: Life Sciences, Health Care, Energy, Resources, and Utilities. No relocation assistance or visa sponsorship available. This is a mid-senior level position with a pay rate to be discussed. Total positions: 1.

An established industry player is on the lookout for a skilled Salesforce Developer to join their dynamic team in San Francisco. This role involves customizing and developing solutions on the Salesforce platform, including Sales Cloud, Service Cloud, and Marketing Cloud. The ideal candidate will have extensive experience in Apex coding, Visualforce, and Lightning components, along with a strong understanding of security controls. With a focus on enhancing business processes and ensuring compliance, this position offers a unique opportunity to make a significant impact in a mid-senior level role. If you are passionate about leveraging Salesforce to drive business success, this is the perfect opportunity for you.

Senior Software Engineer Sunnyvale, CA - Onsite Duration Long Term Job Responsibilities: Research, guide, and execute frontend architecture changes, including but not limited to GraphQL, server-side React rendering, and Flow typing. Build reusable React components with modular CSS, manage data on the client with Redux, use react query, and GraphQL. Measure and resolve performance bottlenecks, using tools like Chrome DevTools, Lighthouse, WebPagetest, or custom tooling. Refactor or improve existing code while constantly finding ways to improve all of our JavaScript code. Work closely with our product, design, and UX teams to create amazing and intuitive experiences that make it effortless to connect different apps together. Help put tools, processes, and documentation in place to improve our code quality. Review code written by other team members or other teams. Ship to hundreds of thousands of users every day while having lots of autonomy in terms of code and feature ownership. Work with complex and varied data structures (APIs can be a little eccentric). Help out with our Node-based developer platform. Share what you know and learn either one-on-one or with lightning talks to the group. Give back to the community via open source and blog posts. Experiment: this is a startup-like environment so everything can change as we experiment with doing more custom partnership work. As a part of Walmart's all-hands philosophy, help customers via support to ensure they have the best experience possible. You'll also have the opportunity to specialize in a variety of areas of the codebase, including core product or platform development. Focusing on a specialization will not limit your area for growth at Walmart, as each engineer brings a unique perspective and can contribute differently to all areas. We encourage participation and will frequently have engineers contribute across teams to assist in projects. Minimum Qualifications BS/MS with a minimum of 10 years of experience in software engineering. Minimum 8 years of experience in JavaScript. Minimum 2 years of experience in Node JS development. Minimum 1 year of experience in GraphQL. Experience in writing extensive unit tests. Preferred Qualifications 12-14 years of experience in software development using modern languages (NodeJS, React, etc.). Thorough understanding of React, Node.JS and its core principles. Experience in React Query or nx is a big plus. Own code quality and experience in writing extensive unit tests. Familiarity with modern front-end build pipelines and tools. Proven ability to learn and adapt to new technologies and frameworks quickly. Ability to deliver in Agile method (SCRUM). Excellent written communication and follow-up skills.

Software Engineer Apply Position Type: Full-time Location: On-site, North Beach, San Francisco Salary Range: $120k - $230k Equity: Competitive Visa Sponsorship: Available for exceptional candidates Hiring Count: 2 - 6 candidates About this role Recruiting is a critical and high-leverage action for any company, with hundreds of billions spent annually. Our AI-enabled recruiting marketplace aims to reduce hiring time from months to days, scaling these solutions effectively. What You'll Work On Accurately match millions of candidates and recruiters to companies Develop creative strategies to acquire liquidity in new industries Design incentives and tools to enhance a recruiter's full-time job Build a seamless, white-glove company experience Why You Should Join Thrive in fast-paced, high-ownership environments Work with proprietary data to shape AI's impact on recruiting Help scale a company with product-market fit while innovating Be a product-minded engineer who enjoys engaging with users What We Look For High attention to detail in design and user experience Full-stack experience building end-to-end products Experience at early-stage startups or hacking on projects Strong verbal and written communication skills Passion and drive for your work You will have end-to-end ownership and work with one of the most valuable recruiting data sets, directly impacting millions and shaping industry development worldwide. Requirements 3+ years of experience as a software engineer Tech Stack React.js, Postgres, Next.js, Typescript, Vercel, GCP

An established industry player is seeking a Solution Architect with extensive experience in the eCommerce domain. This role emphasizes designing microservices and implementing robust security practices, including OAuth and JWT. The ideal candidate will have a strong background in retail, particularly in order management systems, and be proficient in containerization technologies like Docker and Kubernetes. Join a dynamic team where your expertise will drive innovative solutions and enhance customer experiences in a fast-paced environment. If you are passionate about leveraging technology to solve complex challenges, this is the perfect opportunity for you.

Solution Architect with eCommerce Domain Seattle, WA Onsite Experience: 12 Years Duration: Contract Passport No & LinkedIn is Mandatory MANDATORY SKILLS: Retail Experience Ecommerce Domain Docker Kubernetes Kafka RabbitMQ OAuth JWT MYSQL MongoDB Order Management Description: 12+ years experience Experience with Docker, Kubernetes, or similar containerization technologies Microservice - Restful API Design Familiarity with message brokers like Kafka, RabbitMQ, etc. Solid understanding of security best practices, OAuth, JWT, and API security Strong knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) Proficiency in Git and Git-based workflows Strong expertise in Spring Boot, Spring Cloud, or similar frameworks Lead with Retail experience, especially in Order Management and eCommerce domain desired If any Order Management system exposure like IBM Sterling would be desired Create and execute test plans and testing strategies

An established industry player is seeking a Senior Software Engineer to lead frontend architecture changes and enhance user experiences. In this dynamic role, you will build reusable React components, optimize performance, and work closely with product and design teams. You will have the opportunity to specialize in various areas of the codebase while contributing to a collaborative environment that encourages innovation and continuous learning. If you are passionate about technology and eager to make a significant impact, this is the perfect opportunity for you to thrive in a startup-like atmosphere.