Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 min ago
Network Administrator I
Dairy Farmers of America, Inc.
Lenexa, KS
Perform network operations support and analysis by keeping DFA's plant, office, and data center networks available, performant, and secure. Respond to monitoring alerts and user-reported…
Added 1 min ago
Senior Network and Systems Engineer
Dyna Robotics
Redwood City, CA
- You write code to make operations better. You use Python or Bash and configuration management to eliminate repetitive work, keep systems consistent, and make recovery predictable.
Added 1 min ago
SS
Enterprise Transformation (Program Delivery), Analyst - Officer
State Street
Boston, MA
- $60,000 to $101,250 USD / year
The Analyst works across Business, Product, Operations, Technology, Data, Finance, Risk, Compliance, People and Change teams to maintain plans, track commitments, coordinate inputs and…
Added 2 mins ago
Data Engineer
Integrated Home Brand
Miramar, FL
…integrations, reporting solutions, and automation that support operations and decision-making across Clinical, Utilization Management, Referral Management, Operations, Finance, and Revenue…
Added 2 mins ago
Risk & Compliance Consultant - AI & Operations
Sia
San Francisco, CA
Consultants are expected to be on site at least three days per week, whether at a client site or at the Sia office or an approved coworking location
Added 2 mins ago
Risk & Compliance Consultant - AI & Operations
Sia
New York, NY
Consultants are expected to be on site at least three days per week, whether at a client site or at the Sia office or an approved coworking location
Added 3 mins ago
Technical Product Manager - Data and AI Platforms
Perficient
DALLAS, TX
Act as the primary point of contact for data product initiatives, fostering strong relationships with stakeholders across engineering, operations, analytics, and business functions.
Added 3 mins ago
Talent Operations Manager
Springboard Roles
Remote, United States
This remote flexible role can be based in any of these states: CA, FL, TX, MA, AZ, NY & IL
Added 5 mins ago
Civil Engineer
Actalent
Marietta, GA
Travel to various field sites to perform geotechnical field inspections, oversee drilling operations, and provide on-site engineering support.
Added 6 mins ago
Materials Scientist: ATHENA NSF Programmable Cloud Lab - UTK
University of Tennessee
Knoxville, TN
Instrumentation Operations: Operate, maintain, troubleshoot, and support advanced microscopy instrumentation used in ongoing research and collaborative experimental workflows.
Added 7 mins ago
Business Systems & Revenue Analyst
Mann+Hummel GmbH
Hanover Park, IL
Act as a trusted business partner to Sales, Finance, Inside Sales, and Operations
Added 7 mins ago
C
Software Engineer, Claims & AI Billing
Commure
Mountain View, CA
- $130,000 to $190,000 USD / year
- Design and build full-stack features with React, TypeScript, Python, and PostgreSQL, from user experience and APIs to data models and production operations.
Added 7 mins ago
Learning Business Specialist - Hybrid - Norcross, GA
USAN
Norcross, GA
We are hiring a Learning Business Specialist to work cross-functionally with developers, product managers, customer operations, and support teams to create and maintain clear, high-quality…
Added 7 mins ago
Applications Developer
Modern Technology Solutions Inc
Alexandria, VA · Huntsville, AL · Dayton, OH · Colorado Springs, CO · Alexandria · Huntsville · Dayton · Colorado Springs
The Applications Developer is responsible for the design, development, configuration, integration, and continuous improvement of the ServiceNow platform. This role serves as a technical…
Added 8 mins ago
Chief Technology Officer
BOXABL
NORTH LAS VEGAS, NV
…manufacturing processes, products, engineering systems, and business operations. The ideal candidate combines strong technical leadership with practical manufacturing experience, a track…
Added 9 mins ago
Maintenance Technician Intern, Associates Degree (Summer 2027)
GLOBALFOUNDRIES U.S. INC.
NY
Must have at least an overall 3.0 GPA and be in good academic standing
Added 9 mins ago
Digital Manufacturing Strategy Lead
GLOBALFOUNDRIES U.S. INC.
NY
Education: Bachelor’s degree in engineering, operations or a related field, MBA preferred.
Added 9 mins ago
SI
Manager, Quota Operations
Salesforce, Inc.
WA
- $117,400 to $177,600 USD / year
5+ years of experience, ideally in Sales Operations, Sales Strategy, FP&A or Finance; B.S. in a quantitative discipline (e.g., Statistics, Math, Finance, Engineering).
Added 9 mins ago
SI
Director, Capacity Planning
Salesforce, Inc.
CA · WA
- $197,300 to $344,700 USD / year
Candidate should have 7+ years of experience in operations, business intelligence, strategy, capacity planning, financial modeling, analytics or similar positions in a related field
Added 10 mins ago
Cloud Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Work to integrate robust cybersecurity operations, automated guardrails, and compliance checks (NIST 800-53, Zero Trust) into CI/CD pipelines.
Added 10 mins ago
Live Virtual Constructive and Gaming (LVCG) Technician
GD Information Technology, Inc.
United States
Knowledge of Army LVCG simulation technical and functional operations
Added 10 mins ago
Configuration Manager
GD Information Technology, Inc.
United States
The Configuration Manager must have:
Added 10 mins ago
GI
Ship Fitter
GD Information Technology, Inc.
United States
- $37.14 to $50.26 USD / hour
…years of directly related experience supporting engineering…
Added 10 mins ago
Network Administrator
GD Information Technology, Inc.
United States
Must possess (upon applying) a US Secret Security Clearance (or equivalent experience) and 2+ years of recent, hands-on networking experience
Added 10 mins ago
Cloud Architect SME
GD Information Technology, Inc.
United States

Bask Health

Machine Learning Engineering Intern

Remote, United States

Apply on apply.workable.com About employer

Applications open in a new tab.

Job details

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 Engineering Intern to join Bask Health's engineering team and gain practical experience developing machine learning models, working with real application data, and supporting production ML systems. Bask Health provides the technology behind direct-to-consumer telehealth businesses, connecting merchant storefronts, patient experiences, clinical workflows, pharmacy operations, and commerce capabilities. As we expand our machine learning capabilities, we're looking for motivated individuals who want to learn how intelligent systems are developed, evaluated, and integrated into real software products. You'll work alongside experienced machine learning engineers, applied AI engineers, software engineers, and product teams to contribute to machine learning projects across the platform. This internship is designed to provide hands-on engineering experience. Rather than focusing exclusively on theoretical research, you'll learn how machine learning models are developed, tested, improved, and prepared for use in production applications. Your work may include preparing datasets, exploring model architectures, implementing training scripts, evaluating model performance, and helping integrate machine learning capabilities into existing software systems. You'll gain exposure to practical machine learning workflows, including feature engineering, experiment tracking, model validation, performance monitoring, and reproducible development practices. You'll also learn how engineering teams evaluate whether a machine learning solution is appropriate for a product problem, compare model approaches, and balance accuracy with reliability, latency, and operational cost. You'll receive guidance from experienced engineers while contributing to appropriately scoped projects. As you develop your skills, you'll have opportunities to take greater ownership of technical tasks and communicate your findings to the team. Because Bask operates in healthcare-related environments, you'll learn how privacy, secure data handling, appropriate permissions, and human oversight affect machine learning development. You'll work with approved datasets and established safeguards, and your work will not involve independently making clinical decisions or determining patient treatment. We welcome candidates who have developed machine learning skills through university coursework, independent projects, research, internships, hackathons, or self-directed learning. Previous professional machine learning engineering experience is not required. We're looking for someone who enjoys programming, is curious about how machine learning systems work, and wants to develop the practical engineering skills needed to build reliable intelligent software. What You'll Do

Assist with developing machine learning models and supporting engineering systems across Bask Health.
Work with experienced engineers to understand practical machine learning development workflows.
Prepare, clean, and transform approved datasets for model training and evaluation.
Write Python scripts for data processing, experimentation, and model development.
Assist with implementing supervised learning models and baseline algorithms.
Explore classification, regression, ranking, and other machine learning approaches.
Help develop feature engineering pipelines for machine learning applications.
Assist with training, validating, and evaluating machine learning models.
Compare model performance using appropriate evaluation metrics.
Help investigate model errors and unexpected predictions.
Support the development of reproducible machine learning experiments.
Document model configurations, datasets, assumptions, and evaluation results.
Assist with building automated data validation and model testing workflows.
Learn how machine learning models are integrated into backend services and APIs.
Contribute to small machine learning application features under engineering guidance.
Assist with model inference testing and performance measurement.
Help monitor model behavior and investigate reliability issues.
Work with engineers to understand model deployment and production monitoring processes.
Assist with developing scripts and utilities that support ML engineering workflows.
Explore techniques for improving model accuracy, efficiency, and generalization.
Help identify data quality issues that affect model performance.
Participate in code reviews and incorporate feedback from experienced engineers.
Learn and follow Bask Health's software engineering and machine learning development standards.
Use version control and collaborative development tools to manage assigned work.
Collaborate with software engineers and product teams to understand machine learning use cases.
Present experiment results, technical findings, and project progress to team members.
Learn about responsible machine learning practices and secure data handling.
Complete assigned machine learning engineering projects with mentorship, documentation, and appropriate testing.

Requirements

Currently pursuing, recently completed, or independently developing skills equivalent to a degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or a related technical field.
Foundational programming skills in Python or a comparable language.
Basic understanding of machine learning concepts and common algorithms.
Familiarity with supervised learning, including classification or regression.
Understanding of basic programming principles and data structures.
Familiarity with data processing and manipulation techniques.
Basic knowledge of Python libraries such as NumPy, pandas, or comparable tools.
Understanding of model training, validation, and testing concepts.
Familiarity with common machine learning evaluation metrics.
Basic understanding of probability, statistics, or linear algebra.
Ability to write and debug Python scripts.
Familiarity with structured datasets and tabular data.
Basic understanding of SQL or willingness to learn database querying.
Familiarity with Git or willingness to learn version control workflows.
Ability to read technical documentation and follow implementation instructions.
Interest in building practical machine learning applications.
Willingness to learn machine learning frameworks and development tools.
Understanding of basic software testing and debugging practices.
Ability to explain technical concepts and experiment results clearly.
Strong analytical thinking and problem-solving skills.
Attention to detail when working with datasets and model outputs.
Ability to collaborate with engineers and other technical team members.
Openness to feedback and mentorship.
Ability to manage assigned tasks and communicate progress.
Strong curiosity about production machine learning systems and their real-world applications.

Nice to Have

Academic, personal, research, or internship projects involving machine learning.
Experience using scikit-learn, PyTorch, TensorFlow, or comparable ML frameworks.
Familiarity with model training and hyperparameter tuning.
Experience developing classification, regression, or recommendation models.
Basic understanding of neural networks and deep learning.
Familiarity with natural language processing or text classification.
Experience working with Jupyter notebooks or comparable development environments.
Familiarity with data visualization libraries.
Experience using SQL to query and analyze datasets.
Exposure to feature engineering and data preprocessing techniques.
Familiarity with model evaluation metrics such as precision, recall, F1 score, or ROC-AUC.
Experience using GitHub to share programming or machine learning projects.
Exposure to cloud platforms such as AWS, Google Cloud, or Azure.
Familiarity with MLflow, Weights & Biases, or comparable experiment tracking tools.
Basic understanding of model deployment and inference APIs.
Experience participating in machine learning competitions, hackathons, or research projects.
Familiarity with recommendation systems, ranking models, or predictive analytics.
Interest in healthcare technology, telehealth, or e-commerce applications.
Basic awareness of data privacy, model bias, and responsible machine learning.
Experience using AI-assisted development tools such as Cursor or Claude Code.

Apply on apply.workable.com About employer

Report this job

Work requirements

Jobs in the United States