Machine Learning Intern

3 weeks ago

Vancouver, Canada Prenuvo Full time

**About Us**

At Prenuvo, we are on a mission to flip the paradigm from reactive "sick-care" to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience of our clinics across North America, have allowed us to lead the charge against "we caught it too late again." Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Boca Raton, Minneapolis, Los Angeles, New York City, Bethesda, Chicago, and Atlanta, with more clinics in North America and internationally in the next 2 years.

**We are looking for Machine Learning Interns to join the AI Team. We are looking to hire 5-6 interns who will work from our Headquarters located at 1290 Homer Street, Vancouver BC, V6H 1E1. **This is a contract position, the length of the internship period is 8 months.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people's lives We are looking to hire

**What You'll Do**
- **Anatomy and MRI Acquisition**:Learn the basics of human anatomy and the fundamentals of MRI acquisition to understand the context and significance of the medical images.
- **Exploratory Data Analysis**: Perform exploratory data analysis (EDA) on our collection of MR images to identify patterns, anomalies, and insights that can inform model development.
- **Literature Review**:Conduct a thorough review of current state-of-the-art approaches in machine learning, focusing on segmentation and classification problems relevant to medical imaging.
- **Model Development**:Train machine learning models to address specific tasks such as image segmentation and classification, using our extensive dataset of MR images.
- **Model Deployment**: Assist in deploying machine learning models to production, ensuring they are scalable, efficient, and integrated with existing systems.
- **Documentation**:Document processes, experiments, and outcomes clearly and concisely to ensure reproducibility and knowledge sharing within the team.
- **Collaboration**:Work closely with data scientists, engineers, and other stakeholders to understand requirements and deliver solutions that meet business needs.
- **Research**:Stay updated with the latest advancements in AI/ML technologies and contribute ideas to enhance our projects.

**What You'll Bring**
- Strong fundamentals in statistics, classical and modern machine learning
- Knowledge of algorithms, data structures and software engineering best practices
- 1+ years of research experience at an accredited university or the industry
- 2+ years of programming experience in python
- Experience contributing research to machine learning communities, including publishing papers in major conferences or journals (MICCAI, NeurIPS, CVPR, ICCV, ICML)

**Our Values**
- **We empower** - We are all agents for change in transforming healthcare and in transforming our health
- **We work together** - We work together to support and deliver the best for our members and ourselves
- **We bring transparency**:

- Positive change comes from transparency in where we stand as a company, as colleagues and as Prenuvo members

**What We Offer**
- An avenue to make a positive impact on people's lives and their health
- We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member
- Growth opportunities are at the heart of our people journey, we're doing big things with bright minds - there is no single path to success, it can be shaped along the way
- Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize
- Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
- **The hourly wage for this role will be $25.00 CAD**
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status._

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