Aphid
Join to apply for the
Machine Learning Data Scientist
role at
Aphid Join to apply for the
Machine Learning Data Scientist
role at
Aphid Get AI-powered advice on this job and more exclusive features. This range is provided by Aphid. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$85,000.00/yr - $100,000.00/yr Company Overview
Aphid is seeking a versatile Machine Learning Data Scientist Full Stack Developer to join our technology team. This hybrid role combines deep expertise in data science and machine learning with full-stack development capabilities in Python to build end-to-end ML-powered applications and data-driven solutions.
Position Summary
We are looking for a technically proficient professional who can bridge the gap between data science research and production-ready applications. The ideal candidate will design, develop, and deploy machine learning models while building the full-stack infrastructure to support them, from data pipelines to user-facing interfaces.
Key Responsibilities
Machine Learning & Data Science
Develop and implement machine learning models for predictive analytics, classification, clustering, and recommendation systems Perform exploratory data analysis, feature engineering, and statistical modeling Design and execute A/B tests and experimental frameworks Optimize model performance through hyperparameter tuning and advanced techniques Stay current with latest ML research and implement state-of-the-art algorithms Create data visualizations and dashboards for stakeholder communication
Full Stack Development
Build responsive web applications using modern frontend frameworks (React) Develop robust backend APIs and microservices using Python Design and implement database schemas for both relational and MongoDB databases Create real-time data streaming and processing pipelines Implement user authentication, authorization, and security best practices Ensure application scalability, performance, and reliability
MLOps & Infrastructure
Deploy machine learning models to production environments using containerization (Docker, Kubernetes) Implement CI/CD pipelines for model versioning and automated deployment Monitor model performance and implement drift detection systems Build automated retraining and model update workflows Manage cloud infrastructure (AWS) for ML workloads
Collaboration & Communication
Work closely with product managers, designers, and other engineers Translate business requirements into technical solutions Present findings and recommendations to both technical and non-technical stakeholders Mentor junior team members and contribute to technical documentation
Required Qualifications
Education & Experience
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field 3+ years of experience in machine learning and data science 3+ years of experience in full-stack web development Proven track record of deploying ML models to production
Technical Skills
Programming Languages: Proficiency in Python and JavaScript; familiarity with R, Scala, or Java is a plus Machine Learning: Experience with scikit-learn, TensorFlow, PyTorch, XGBoost, and other ML frameworks Frontend Development: React, HTML5, JavaScript Backend Development: REST APIs, GraphQL, microservices architecture Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Elasticsearch) Cloud Platforms: AWS DevOps Tools: Docker, Kubernetes, Git, CI/CD pipelines Data Tools: Pandas, NumPy, Jupyter, Apache Spark, Apache Kafka
Soft Skills
Strong analytical and problem-solving abilities Excellent communication and presentation skills Ability to work independently and manage multiple projects Strong attention to detail and commitment to code quality Collaborative mindset and ability to work in agile environments
Preferred Qualifications
PhD in a quantitative field Experience with deep learning and neural networks Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases) Knowledge of data governance and privacy regulations (GDPR, CCPA) Experience with real-time systems and streaming data processing Contributions to open-source projects or published research Industry certifications in cloud platforms or machine learning
What We Offer
Equity package Flexible work arrangements and remote work options -Token in digital asset BION
Application Process
Please submit your resume, cover letter, and portfolio showcasing relevant projects. Include links to GitHub repositories, deployed applications, or published research that demonstrate your machine learning and full-stack development capabilities.
Aphid is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
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Machine Learning Data Scientist
role at
Aphid Join to apply for the
Machine Learning Data Scientist
role at
Aphid Get AI-powered advice on this job and more exclusive features. This range is provided by Aphid. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$85,000.00/yr - $100,000.00/yr Company Overview
Aphid is seeking a versatile Machine Learning Data Scientist Full Stack Developer to join our technology team. This hybrid role combines deep expertise in data science and machine learning with full-stack development capabilities in Python to build end-to-end ML-powered applications and data-driven solutions.
Position Summary
We are looking for a technically proficient professional who can bridge the gap between data science research and production-ready applications. The ideal candidate will design, develop, and deploy machine learning models while building the full-stack infrastructure to support them, from data pipelines to user-facing interfaces.
Key Responsibilities
Machine Learning & Data Science
Develop and implement machine learning models for predictive analytics, classification, clustering, and recommendation systems Perform exploratory data analysis, feature engineering, and statistical modeling Design and execute A/B tests and experimental frameworks Optimize model performance through hyperparameter tuning and advanced techniques Stay current with latest ML research and implement state-of-the-art algorithms Create data visualizations and dashboards for stakeholder communication
Full Stack Development
Build responsive web applications using modern frontend frameworks (React) Develop robust backend APIs and microservices using Python Design and implement database schemas for both relational and MongoDB databases Create real-time data streaming and processing pipelines Implement user authentication, authorization, and security best practices Ensure application scalability, performance, and reliability
MLOps & Infrastructure
Deploy machine learning models to production environments using containerization (Docker, Kubernetes) Implement CI/CD pipelines for model versioning and automated deployment Monitor model performance and implement drift detection systems Build automated retraining and model update workflows Manage cloud infrastructure (AWS) for ML workloads
Collaboration & Communication
Work closely with product managers, designers, and other engineers Translate business requirements into technical solutions Present findings and recommendations to both technical and non-technical stakeholders Mentor junior team members and contribute to technical documentation
Required Qualifications
Education & Experience
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field 3+ years of experience in machine learning and data science 3+ years of experience in full-stack web development Proven track record of deploying ML models to production
Technical Skills
Programming Languages: Proficiency in Python and JavaScript; familiarity with R, Scala, or Java is a plus Machine Learning: Experience with scikit-learn, TensorFlow, PyTorch, XGBoost, and other ML frameworks Frontend Development: React, HTML5, JavaScript Backend Development: REST APIs, GraphQL, microservices architecture Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Elasticsearch) Cloud Platforms: AWS DevOps Tools: Docker, Kubernetes, Git, CI/CD pipelines Data Tools: Pandas, NumPy, Jupyter, Apache Spark, Apache Kafka
Soft Skills
Strong analytical and problem-solving abilities Excellent communication and presentation skills Ability to work independently and manage multiple projects Strong attention to detail and commitment to code quality Collaborative mindset and ability to work in agile environments
Preferred Qualifications
PhD in a quantitative field Experience with deep learning and neural networks Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases) Knowledge of data governance and privacy regulations (GDPR, CCPA) Experience with real-time systems and streaming data processing Contributions to open-source projects or published research Industry certifications in cloud platforms or machine learning
What We Offer
Equity package Flexible work arrangements and remote work options -Token in digital asset BION
Application Process
Please submit your resume, cover letter, and portfolio showcasing relevant projects. Include links to GitHub repositories, deployed applications, or published research that demonstrate your machine learning and full-stack development capabilities.
Aphid is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Aphid by 2x Get notified about new Machine Learning Researcher jobs in
Los Angeles, CA . ML Software Engineer (L4/L5) - Media Algorithms
Los Angeles, CA $141,000.00-$202,000.00 17 hours ago Software Engineer III, AI/ML GenAI, Google Ads
Los Angeles, CA $141,000.00-$202,000.00 3 weeks ago Santa Monica, CA $147,000.00-$259,000.00 2 days ago Los Angeles, CA $180,000.00-$190,000.00 1 month ago Los Angeles Metropolitan Area 14 hours ago Senior Machine Learning Engineer - AI Solutions
Los Angeles, CA $65,000.00-$110,000.00 1 month ago Santa Monica, CA $167,700.00-$246,400.00 3 weeks ago Burbank, CA $114,900.00-$154,100.00 1 month ago Santa Monica, CA $178,000.00-$313,000.00 2 days ago Machine Learning Engineer - New Verticals - Search & Recommendations
Santa Monica, CA $175,800.00-$246,400.00 1 month ago Los Angeles Metropolitan Area $150,000.00-$175,000.00 3 weeks ago Santa Monica, CA $190,000.00-$190,000.00 1 month ago Machine Learning Infrastructure Engineer
Los Angeles, CA $85,000.00-$120,000.00 4 hours ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr