Machine Learning Engineer (Remote) Company: Genista Biosciences (San Jose, CA – US-based Biotech Startup) Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform. What You’ll Do: Design, train, and deploy scalable machine learning models for real-world biotech applications Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions Optimize model performance and ensure reliability in production environments Implement pipelines for data preprocessing, feature engineering, and model monitoring Collaborate with backend teams to integrate ML models into applications and APIs Requirements: 2–5 years of experience as an ML Engineer or in a similar role Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience deploying models at scale (cloud platforms: AWS/GCP/Azure ) Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines) Solid understanding of data structures, algorithms, and software engineering best practices Experience with scientific/biotech/healthcare data is a plus Perks: 100% remote Opportunity to apply ML in high-impact biotech solutions Startup culture: autonomy, innovation, and ownership
Company: Genista Biosciences (US-based Biotech Startup) Genista Biosciences is a rapidly growing biotech company dedicated to improving public health and food safety through a cutting-edge platform that combines robotics, software, and advanced technology . Our goal is to revolutionize food safety with fast, accurate, and cost-effective testing solutions. We’re looking for a Software Engineer who can own development end-to-end and thrive in a startup environment. Tech Stack: Backend: Python, Django Frontend: React.js, Angular.js Databases: MongoDB, MySQL What You’ll Do: Build and maintain scalable web applications Develop, test, and optimize backend + frontend features Work with scientific & product teams to deliver new solutions Debug and improve existing codebases Requirements: 3–5 years of full stack experience Strong in Python/Django, React.js/Angular.js Skilled with MongoDB & MySQL Comfortable testing, debugging, and working in fast-paced environments Perks: 100% remote Work on cutting-edge biotech innovations Startup culture: ownership, autonomy, impact
Company: Genista Biosciences (US-based Biotech Startup) Genista Biosciences is a rapidly growing biotech company dedicated to improving public health and food safety through a cutting-edge platform that combines robotics, software, and advanced technology . Our goal is to revolutionize food safety with fast, accurate, and cost-effective testing solutions. Were looking for a Software Engineer who can own development end-to-end and thrive in a startup environment. Tech Stack: Backend: Python, Django Frontend: React.js, Angular.js Databases: MongoDB, MySQL What Youll Do: Build and maintain scalable web applications Develop, test, and optimize backend + frontend features Work with scientific & product teams to deliver new solutions Debug and improve existing codebases Requirements: 35 years of full stack experience Strong in Python/Django, React.js/Angular.js Skilled with MongoDB & MySQL Comfortable testing, debugging, and working in fast-paced environments Perks: 100% remote Work on cutting-edge biotech innovations Startup culture: ownership, autonomy, impact Show more Show less
Machine Learning Engineer (Remote) Company: Genista Biosciences (San Jose, CA US-based Biotech Startup) Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. Were looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform. What Youll Do: Design, train, and deploy scalable machine learning models for real-world biotech applications Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions Optimize model performance and ensure reliability in production environments Implement pipelines for data preprocessing, feature engineering, and model monitoring Collaborate with backend teams to integrate ML models into applications and APIs Requirements: 25 years of experience as an ML Engineer or in a similar role Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience deploying models at scale (cloud platforms: AWS/GCP/Azure ) Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines) Solid understanding of data structures, algorithms, and software engineering best practices Experience with scientific/biotech/healthcare data is a plus Perks: 100% remote Opportunity to apply ML in high-impact biotech solutions Startup culture: autonomy, innovation, and ownership Show more Show less
Company Description Located at the heart of innovation in San Jose, CA, Genista Biosciences is a biotech company dedicated to improving public health and food safety, both on a community and global scale. We leverage cutting-edge in-house robotics and an AI-powered SaaS for safety and quality data management, enabling our partners to consistently meet their quality and safety standards. Our mission is to ensure consumers have access to safe, high-quality products. Role Description This is a full-time, remote role for a Talent Acquisition Specialist. The successful candidate will be responsible for full-life cycle recruiting, conducting interviews, hiring, and employer branding. They will work closely with hiring managers to identify staffing needs, develop recruitment strategies, and implement effective sourcing techniques to attract top talent. Qualifications Full-life Cycle Recruiting and Recruiting skills Experience in Hiring and Interviewing Experience with Candidate's Experience. Excellent communication and interpersonal skills Ability to work independently and remotely Bachelor's degree in Human Resources, Business Administration, or related field
Company Description Located at the heart of innovation in San Jose, CA, Genista Biosciences is a biotech company dedicated to improving public health and food safety, both on a community and global scale. We leverage cutting-edge in-house robotics and an AI-powered SaaS for safety and quality data management, enabling our partners to consistently meet their quality and safety standards. Our mission is to ensure consumers have access to safe, high-quality products. Role Description This is a full-time, remote role for a Talent Acquisition Specialist. The successful candidate will be responsible for full-life cycle recruiting, conducting interviews, hiring, and employer branding. They will work closely with hiring managers to identify staffing needs, develop recruitment strategies, and implement effective sourcing techniques to attract top talent. Qualifications Full-life Cycle Recruiting and Recruiting skills Experience in Hiring and Interviewing Experience with Candidate's Experience. Excellent communication and interpersonal skills Ability to work independently and remotely Bachelor's degree in Human Resources, Business Administration, or related field
Job Title: Operation Analyst Responsibilities 1. Query internal databases (SQL) to extract and analyze operations data 2. Build and maintain dashboards and reports (Excel, Looker, Tableau, etc.) 3. Identify trends and generate insights to improve efficiency and decision-making 4. Support teams with ad hoc analysis and internal performance tracking Qualifications 1. MBA from a top-tier institution 2. 2+ years of experience in operations, business analytics, or strategy roles 3. Strong proficiency in SQL and Excel 4. Experience with data visualization tools (e.g., Splunk, Tableau, Power BI) 5. Ability to connect data insights to business outcomes 6. Strong project management skills, able to thrive in a fast-paced, cross-functional environment
Job Title: QC Data Analyst Shift Timing: 7AM-4PM IST or 8AM-5PM IST (flexible) Role Overview: We are seeking a QC Data Analyst to analyze and interpret food sample data, ensuring compliance with quality standards. This role involves verifying data accuracy, investigating non-compliant results, and collaborating with production teams to resolve issues. The analyst will also prepare reports and perform statistical analysis to assess product quality. Key Responsibilities: Review test results, generate COAs, and verify data Perform calculations and investigate discrepancies Initiate investigations and recommend corrective actions Record data in LIMS Identify trends, assess data quality, and communicate findings Required Skills: Strong analytical and problem-solving abilities Attention to detail and accuracy Excellent communication and documentation skills Knowledge of quality standards Education: Bachelor / Master / Ph.D degree in food science, microbiology, chemistry, or related field