Jobs in the United States

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Added 1 min ago
Full-Stack Engineer (Java/React/Mobile) - 3711500
Lighthouse Technology Services
Buffalo, NY
Own end-to-end delivery of complex system components including design, development, testing, and documentation
Added 1 min ago
Full Stack Engineer (Web & Mobile) - 3711519
Lighthouse Technology Services
Buffalo, NY
Lighthouse Technology Services is partnering with our client to fill their Full Stack Engineer (Web & Mobile) position! This is a 3-4 month contract with potential to extend and will be…
Added 1 min ago
Data & Risk Strategy Enablement
WEX
ME
…objectives. The Team combines data science, risk expertise, technology, and a wide range of data sources to develop solutions that inform decision-making across the client lifecycle. Our…
Added 1 min ago
Principal Tech. Prog. Manager, Amazon Leo Customer Terminals
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
…discussions that lead to clear decisions while providing context for design direction and long-term perspective. You use your technical judgment to question proposals and test assumptions,…
Added 1 min ago
Principal Technical Business Development, T2K Strategy & Acceleration
Amazon Web Services, Inc.
Arlington, VA · Seattle, WA
…go-to-market plans, and sharpen customer outreach. You'll also design the programs and mechanisms that let what works scale across hundreds of…
Added 1 min ago
Kernel / Hypervisor Engineer - Firecracker, Firecracker
Amazon Development Center U.S., Inc.
New York, NY
…will work on Firecracker [1], an open source virtualization technology that is purpose-built for creating and managing secure, multi-tenant container and function-based services that…
Added 2 mins ago
PA
A/V & Event Operations Assistant
Petersen Automotive Museum
Los Angeles, CA
- $22 USD / hour
…class exhibitions to unforgettable events, we bring history, design, and horsepower to life every…
Added 2 mins ago
Information Technology Consultant II
San Diego State University Research Foundation
Chula Vista, CA
…skills and capabilities by valuing education and professional…
Added 2 mins ago
SR Warehouse Robotics Engineer
LOGISTICS INSIGHT CORP.
Warren, MI
You will combine hands-on engineering with project ownership, working directly with customers, operations teams, technology suppliers, and system integrators to take automation projects…
Added 3 mins ago
BR
IT Support Engineer
Basecamp Research
Boston, MA
- $90,000 to $150,000 USD / year
…that doesn't exist in public databases, and enables EDEN to design cell and gene therapies, enzymes, and peptides directly from information about a disease. Our pipeline of EDEN-designed…
Added 3 mins ago
Electrical Engineering New Grad | Rogers, AR
IMEG Consultants Corp.
Rogers, AR
Mechanical, electrical, plumbing, and technology design for complex buildings
Added 3 mins ago
Project Coordinator
IMEG Consultants Corp.
Naperville, IL · NY · Rock Island, IL · Madison, WI · Jacksonville, FL · Minneapolis, MN · Columbus, OH · Chicago, IL
…providing organizational assistance to all the members of the Technology Consulting and Engineering team including coordinating work to ensure schedules, quality, and standards are met. Our…
Added 3 mins ago
Electrical Engineering New Grad | Rogers, AR
IMEG Consultants Corp.
Rogers, AR
Mechanical, electrical, plumbing, and technology design for complex buildings
Added 3 mins ago
Implementation Analyst I
DPDHL
Westerville, OH
Participates in development of concept of systems development, software demonstration preparation and execution, and goodness of fit/solution design review for meaningful to vital business…
Added 3 mins ago
Manufacturing Engineer I
Ruger Precision Metals, LLC
Earth City, MO
…assembly processes for Ruger products to include fixture and gage design (SolidWorks) and cutting tool selection, with the ability to produce tight tolerance components. Implement…
Added 3 mins ago
Director, Virtual Design & Construction
NV5
United States
NV5 delivers technology-enabled engineering, consulting, and geospatial solutions that help clients plan, design, and optimize infrastructure, buildings, utilities, and environmental…
Added 3 mins ago
Advanced Cost Optimization Engineer
Honeywell
Arvada, CO
YOU MUST HAVE
Added 4 mins ago
Senior Solution Engineer
Contentful
NY · Denver, CO
…we also consider candidates who have front-end and back-end development experience or who have professional services, sales or marketing backgrounds. We lean heavily on our core values to…
Added 4 mins ago
Senior Solution Engineer
Contentful
Denver, CO
…we also consider candidates who have front-end and back-end development experience or who have professional services, sales or marketing backgrounds. We lean heavily on our core values to…
Added 4 mins ago
Senior Solution Engineer
Contentful
San Francisco, CA · Denver, CO
…we also consider candidates who have front-end and back-end development experience or who have professional services, sales or marketing backgrounds. We lean heavily on our core values to…
Added 4 mins ago
Senior Software Engineer (Claude Code or Google Gemini)
Highmark Health
Remote, United States
…process from idea generation, business analysis, technical design and software development using the latest technologies and design patterns. The position requires experience with Claude…
Added 4 mins ago
Business Technical Analyst
Highmark Health
Remote, United States
Collaborate effectively with cross-functional teams, leveraging diverse technology skills and perspectives to proactively identify and address technology development/delivery related…
Added 4 mins ago
Staff GL Accountant
GHX
Remote, United States
Independently identify process inefficiencies and control gaps across the GL function and lead the design and implementation of improvements.
Added 4 mins ago
Strategic Accounts Manager - C&I Energy
Yotta Energy
Remote, United States
Partner with our sales and technical teams, who support site-by-site design, development and execution.
Added 4 mins ago
Middle School Math Teacher - King Middle
Portland Public Schools
Portland, ME
…conducive to the intellectual, physical, social and emotional development of individuals to ensure Success for Every Student. Supervises students in a variety of school related settings.…

Bask Health

Machine Learning Engineer, Personalization

Remote, United States

Apply on apply.workable.com About employer

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Job details

Experience: 3+ years of professional experience in machine learning engineering, applied machine learning, software engineering, or a closely related technical field.
Posting language: English
Posted: Nov 12, 2026

Original job description

About Bask Health Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses. Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place. We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform. Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality. About the Role We're looking for a Machine Learning Engineer, Personalization to build and improve intelligent systems that help Bask Health deliver more relevant and personalized experiences across our platform. Bask Health provides the technology behind direct-to-consumer telehealth businesses, bringing together merchant storefronts, patient experiences, clinical workflows, pharmacy operations, and commerce capabilities. As merchants grow, we want to help them create digital experiences that are responsive to user needs, preferences, and interactions. You'll develop machine learning models and recommendation systems that support personalized content, relevant platform experiences, and intelligent discovery within approved product workflows. This is a hands-on machine learning engineering role that combines model development, data processing, backend integration, experimentation, and production monitoring. You'll work with application data, user interaction signals, machine learning algorithms, and platform services to build personalization capabilities that operate reliably at scale. Your work may include developing ranking models, recommendation algorithms, user preference representations, behavioral feature pipelines, and systems that adapt application experiences based on relevant, authorized signals. You'll collaborate with product managers, backend engineers, frontend engineers, data specialists, and other machine learning engineers to identify personalization opportunities and translate them into production-ready features. You'll also help design experiments to measure whether personalization improves user experience, engagement, and relevant product outcomes. You'll evaluate model quality, investigate performance issues, and continuously improve algorithms based on measured results. Because Bask operates in healthcare-related environments, personalization must respect privacy, data access permissions, and clinical boundaries. You'll ensure that models do not independently determine medical eligibility, recommend treatments, change prescriptions, or override approved clinical workflows. This position emphasizes practical machine learning, strong software engineering fundamentals, and measurable product improvements. You'll contribute to model design, implement production systems, and own features through deployment and ongoing optimization. We're looking for an engineer who enjoys working with recommendation systems, understands the challenges of real-world personalization, and wants to build intelligent product experiences that are useful, reliable, and responsible. What You'll Do

Design, develop, and deploy machine learning models that support personalized experiences across Bask Health.
Build recommendation systems for approved platform content and user experiences.
Develop ranking algorithms that improve the relevance of information presented to users.
Implement personalization models using behavioral, contextual, and preference-related signals.
Build feature engineering pipelines that transform application data into model-ready inputs.
Develop systems for representing user preferences and interaction patterns.
Implement personalized content ordering and discovery capabilities within approved workflows.
Build backend services and APIs that deliver personalization results to applications.
Collaborate with frontend engineers to integrate personalization into user-facing experiences.
Develop baseline models and compare them against more advanced personalization approaches.
Experiment with collaborative filtering, content-based recommendation, and learning-to-rank methods.
Implement model training, validation, and evaluation workflows.
Develop offline evaluation methods for recommendation and ranking quality.
Support online experimentation and A/B testing for personalization features.
Analyze engagement and interaction data to identify opportunities for model improvements.
Monitor production model performance, latency, and reliability.
Investigate changes in recommendation quality and unexpected model behavior.
Develop strategies for handling sparse data and new-user cold-start scenarios.
Implement appropriate fallbacks when personalization signals are unavailable.
Optimize model inference speed and resource usage.
Collaborate with backend engineers to support scalable model serving.
Work with product managers to define personalization goals and success metrics.
Evaluate model performance across relevant user groups and application contexts.
Implement privacy-conscious data processing and feature access controls.
Ensure personalization features respect tenant boundaries and approved platform permissions.
Document model assumptions, evaluation results, and known limitations.
Participate in code reviews, technical planning, and architecture discussions.
Own assigned personalization features from model development through deployment, monitoring, and continuous improvement.

Requirements

3+ years of professional experience in machine learning engineering, applied machine learning, software engineering, or a closely related technical field.
Experience developing and deploying machine learning models in production.
Strong programming skills in Python or comparable machine learning development languages.
Understanding of recommendation systems, ranking models, or predictive modeling.
Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
Familiarity with supervised learning and common model evaluation techniques.
Experience developing data processing and feature engineering pipelines.
Strong understanding of SQL and structured application data.
Familiarity with statistical analysis and experimental design.
Experience integrating machine learning models into production applications.
Understanding of backend services and API development.
Familiarity with cloud-based machine learning deployment.
Experience evaluating model quality using appropriate offline metrics.
Understanding of model overfitting, data leakage, and generalization.
Familiarity with model training, validation, and testing workflows.
Experience troubleshooting machine learning performance issues.
Understanding of data quality and feature reliability.
Familiarity with model monitoring and production observability.
Experience writing maintainable, tested production code.
Understanding of authentication, authorization, and secure data handling.
Experience using Git and collaborative engineering workflows.
Ability to translate product requirements into machine learning solutions.
Strong analytical and problem-solving skills.
Ability to collaborate effectively with product managers, data specialists, and software engineers.
Ability to independently own machine learning projects from development through deployment.

Nice to Have

Experience building recommendation systems for e-commerce or SaaS platforms.
Familiarity with collaborative filtering and content-based recommendation algorithms.
Experience with learning-to-rank techniques and ranking optimization.
Understanding of embeddings and vector similarity methods.
Experience building personalized search or content discovery features.
Familiarity with user behavior modeling and preference prediction.
Experience developing real-time personalization systems.
Understanding of contextual bandits or reinforcement learning approaches to recommendations.
Experience with A/B testing and online experimentation platforms.
Familiarity with recommendation metrics such as NDCG, MAP, precision@k, and recall@k.
Experience working with sparse interaction data and cold-start problems.
Familiarity with feature stores and machine learning data pipelines.
Experience with AWS SageMaker or comparable ML platform services.
Experience building low-latency model inference services.
Familiarity with TypeScript and Node.js backend development.
Experience with React or Next.js application integrations.
Familiarity with multi-tenant SaaS architecture.
Experience applying personalization in healthcare-related software while respecting clinical boundaries.
Understanding of HIPAA and healthcare data privacy considerations.
Experience using AI-assisted development tools such as Cursor or Claude Code.

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Jobs in the United States