Jobs in the United States

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Senior Mechanical Engineer
REV Robotics
Carrollton, TX
- $100,000 to $115,000 USD / year
Leveraging your FIRST Robotics experience and engineering expertise, you will help create the tools that empower students to tackle real-world challenges, both in classrooms and on the…
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Engineering Manager
Stella Resources Co., Inc.
Eagan, MN
Broad knowledge of systems, infrastructure, and engineering concepts, with understanding of business and industry context.
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Test Site Engineer
Noblis
White Sands, NM
Noblis is hiring a Test Site Engineer at White Sands, NM. This position provides test engineering support by developing test plans, procedures, and data collection requirements; translating…
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Principal Architect, Payer Data Platform
Veradigm LLC
Raleigh, NC
…designs data that AI features can rely on and uses AI in its own engineering work. It is a hands-on individual contributor role, about 25% building reference implementations and shared…
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Shoreline Director
City of South Padre Island
South Padre Island, TX
Oversees the preparation of engineering plans and specifications, bidding, competency of contractors and vendors, the selection criteria for public contracts, and oversees project…
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Senior Hardware Validation Engineer
Canopy
Detroit, MI
Issue Triage and Root-Cause Analysis: Lead the investigation of hardware defects and test failures, partnering with engineering teams and suppliers to identify root causes, define…
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Senior Software Engineer, ML Platform
Stack AV
Remote, United States
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates…
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Research Intern (PhD), Autonomy
Stack AV
Remote, United States
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates…
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FPGA Engineer
Pivot + Edge
Dallas, TX
This is a hands-on engineering role requiring strong expertise in Verilog/SystemVerilog, FPGA architecture, simulation, timing closure, hardware debugging, and modern AI-assisted…
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Data Engineer II - Databricks
CliftonLarsonAllen LLP
Milwaukee, WI · Madison, WI · Racine, WI
…technical problems, and is eager to continue developing their data engineering skills while collaborating with experienced team…
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Program Coordinator I
Texas A&M University - Kingsville
Kingsville, TX
Bachelor’s degree in business administration, engineering, education, or a closely related field; equivalent relevant experience may be considered in accordance with university policy.
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Environmental Engineering Intern
SWCA Environmental Consultants
Lombard, IL
- $25.2 USD / hour
In addition, the individual must have completed their first year of their engineering curriculum · Applicants must possess a valid driver's license and meet SWCA's driver requirements
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State Construction Engineer
Arizona Department of Administration
AZ
Provides technical engineering expertise and direction to the statewide construction Districts to ensure that each construction project is completed in compliance with contract documents.
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Operations Planning Manager
Novolex
Athens, GA
…approve work hours and pay rates utilizing the timekeeping…
Added 1 min ago
Sr. Staff High-Speed Communication Architect – AI Systems
Tenstorrent
Austin, TX · Santa Clara, CA
…high-bandwidth communication architecture for rack-scale AI accelerator systems. This role owns the end-to-end communication path between AI chips, GPUs, CPUs, switches, memory systems, and…
Added 1 min ago
Sr. Staff Engineer, AI Datacenter Thermal Management & Control Plane
Tenstorrent
Austin, TX · Santa Clara, CA
Lead control software and systems engineering: define device-level interfaces and state machines, safety interlocks, fault isolation, cybersecurity, availability, monitoring, alerting, and…
Added 1 min ago
Principal Power Systems Architect- AI Accelerator Systems
Tenstorrent
Austin, TX · Santa Clara, CA
We are seeking a highly experienced Principal Power Systems Architect to define and deliver next-generation power systems for high-density AI accelerator racks using 800VDC distribution.…
Added 1 min ago
Data & Risk Strategy Enablement
WEX Inc
Remote, United States
You thrive in environments where data is distributed across multiple systems and teams, and where creating clarity, consistency, and trust is essential. You are comfortable challenging…
Added 1 min ago
Biomedical Field Service Representative
GE HEALTHCARE
Windsor, CT
“Fully vaccinated” means that any such person must have received two doses of a COVID-19 vaccination approved by Health Canada · The second dose of vaccine must have been administered at least 14 clear days before commencing employment
Added 1 min ago
GH
Launch Readiness Excellence Leader
GE HEALTHCARE
Waukesha, WI · Chicago, IL
- $176,000 to $264,000 USD / year
Bachelor's degree in Marketing, Business Administration, Engineering or a related field, or equivalent experience.
Added 1 min ago
Maintenance Manager
Land O'Lakes Inc
Saint Joseph, MO
Bachelor’s degree in engineering, industrial technology, maintenance management, manufacturing, business, or a related field; an equivalent combination of technical education and directly…
Added 1 min ago
Senior System Architect (R-00257)
True Zero Technologies
Remote, United States
The ideal candidate will possess extensive experience in enterprise systems architecture, cloud computing, and cybersecurity engineering, with deep technical expertise in AWS environments,…
Added 1 min ago
Cyber Hunt Team Leader (R-00256)
True Zero Technologies
Remote, United States
…techniques, and procedures (TTPs), and advanced threat detection…
Added 1 min ago
Senior Product Manager, Internal Tools & Marketing Technology
Fanatics Betting & Gaming
NY
You will partner closely with operations, CRM/lifecycle marketing, engineering, data, and compliance to translate operational and marketing needs into platform requirements, prioritize a…
Added 2 mins ago
Director, Broadcast Engineering
The National Football League
Inglewood, CA
The Director, Broadcast Engineering is responsible for leading the strategy, operation, modernization, and reliability of mission-critical broadcast engineering systems that support live…

Bask Health

Machine Learning Engineering Intern

Remote, United States

Apply on apply.workable.com About employer

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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.

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Jobs in the United States