Senior Machine Learning Engineer - Remote
Colombia
Applications have closed
Hinge Health
We are the leading digital clinic for back, joint, and muscle pain. Explore how our online care solutions go beyond traditional physical therapy to provide lasting pain relief.
Hinge Health is building the world’s most patient-centered Digital Musculoskeletal (MSK) Clinic™. It is now the leading Digital MSK Clinic, used by four in five employers and 90% of health plans with a digital MSK solution. Hinge Health reduces MSK pain, surgeries, and opioid use by pairing advanced wearable sensors and computer vision technology with a comprehensive clinical care team of physical therapists, physicians, and board-certified health coaches.
To learn more about our company and culture please visit: http://www.hingehealth.comhttps://www.hingehealth.com/diversity-equity-and-inclusion
We’re looking for an experienced machine learning engineer to join our team. The primary role of this position is to develop intelligent machine learning algorithms in user health data to discover patterns, recommend care plans and predict outcomes.
The ideal candidate is a driven and talented machine learning engineer with a proven research track record, an ability to quickly solve difficult technical problems and a hunger to use machine learning ethically to positively impact thousands of lives. They have a deep understanding of machine learning and continually endeavor to learn about the latest developments. They have experience with a broad range of ML topics such as recommender systems, supervised and unsupervised learning models, reinforcement learning, natural language processing, etc. They are skilled in computer programming and are adept with relevant tools for data analysis, model training and deployment.
If you're interested - we'd love to hear from you. No recruiters, please.
Hinge Health is proud to be an Equal Employment Opportunity employer.We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Hinge Health is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your Recruiter and we'll work with our accommodations team to evaluate your request.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
To learn more about our company and culture please visit: http://www.hingehealth.comhttps://www.hingehealth.com/diversity-equity-and-inclusion
We’re looking for an experienced machine learning engineer to join our team. The primary role of this position is to develop intelligent machine learning algorithms in user health data to discover patterns, recommend care plans and predict outcomes.
The ideal candidate is a driven and talented machine learning engineer with a proven research track record, an ability to quickly solve difficult technical problems and a hunger to use machine learning ethically to positively impact thousands of lives. They have a deep understanding of machine learning and continually endeavor to learn about the latest developments. They have experience with a broad range of ML topics such as recommender systems, supervised and unsupervised learning models, reinforcement learning, natural language processing, etc. They are skilled in computer programming and are adept with relevant tools for data analysis, model training and deployment.
WHAT YOU’LL ACCOMPLISH
- Build predictive models that can be used to predict a specific outcome with high accuracy.
- Continually refine existing models by building in and advocating for feedback collection.
- Identify underlying insights revealed by analyzing model weights and structures - revealing why the models make the predictions they do.
- Communicate and evangelize new ML models and approaches across the company.
- Manage, wrangle, and pre-process multiple data sources so that the resulting data is appropriately formatted for machine learning and advocate for new data (fields/types) that would unlock new insights.
- Understand, demonstrate and explain execution performance and execution limitations of proposed model architectures in a production setting.
WHAT WE’RE LOOKING FOR
- Skills: Python, Tensorflow/Pytorch (or other), at least 1 other language
- Behaviors: Versatile, resourceful and results-driven
BONUS POINTS
- Demonstrated experience in natural language processing (NLP)
- Demonstrated experience working with user and/or personal health data
- Experience deploying production ML systems
- Experience in C++ (or another system level language)
- Published works in top ML publications
If you're interested - we'd love to hear from you. No recruiters, please.
Hinge Health is proud to be an Equal Employment Opportunity employer.We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Hinge Health is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your Recruiter and we'll work with our accommodations team to evaluate your request.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Vision Data analysis Machine Learning ML models Model training NLP Python PyTorch Recommender systems Research TensorFlow
Perks/benefits: Salary bonus
Region:
South America
Country:
Colombia
Job stats:
14
1
0
Categories:
Engineering Jobs
Machine Learning Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs