At a Glance
- Tasks: Develop and deploy scalable ML systems to revolutionise heart care.
- Company: Join Heartflow, a leader in medical technology innovation.
- Benefits: Competitive salary, cash bonuses, equity, and remote work options.
- Why this job: Make a real impact on heart disease with cutting-edge AI technology.
- Qualifications: Bachelor's/Master’s in Computer Science or related field; 2+ years experience.
- Other info: Dynamic team environment with opportunities for career growth.
The predicted salary is between 104000 - 176000 ÂŁ per year.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFR CT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapAnalysis), assess coronary blood flow (FFR CT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis).Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 400,000 patients worldwide.
We seek a highly motivated and dynamic Software Engineer who is passionate about buildingand deploying scalable ML systems. You will work closely with our experienced researchers andengineers to develop and deploy ML algorithms that power our AI-driven platform. You will gainhands-on experience with the latest technologies in machine learning and cloud computing,contributing to projects that impact our products and services, and ultimately, move the needleon heart disease. #LI-IB1
What You’ll Do
The ideal candidate is passionate about using first-principles thinking to navigate challengingproblems in ML algorithm development. You will:
- Partner cross-functionally with Research/Engineering/Clinical to develop and productize ML algorithms in the medical imaging space.
- Develop robust cloud-based ML algorithm training and evaluation pipelines.
- Package, deploy, and monitor ML algorithms in a Production environment.
- Define and implement software and ML algorithm validation strategies.
Who We’re Looking For
- Bachelor\’s/Master’s degree in Computer Science, Engineering, or a related field.
- 2+ years of relevant job experience
- Strong foundation in software engineering principles and practices, with proficiency in at least one programming language (e.g. Python, C++).
- Deep understanding of convolutional neural networks and image processing techniques.
- Expertise in building, deploying, and monitoring ML algorithms in Production environments.
- Competency with at least one cloud provider (e.g. AWS, GCP, Azure).
- Excellent communication and interpersonal skills, with the ability to communicate to both technical and non-technical audiences.
How You Stand Out
- Experience with distributed computing frameworks (e.g. Ray/Spark/Dask).
- Experience with data warehouses (e.g. Redshift / Snowflake / Databricks).
- Experience with infrastructure as code (CDK, Terraform)
- Prior experience working in a healthcare-domain or highly-regulated environment.
- A keen interest in staying up-to-date with the latest trends and advancements in machine learning, artificial intelligence, and distributed computing.
- Blog (or other media) communicating the candidate’s data science or engineering projects, ideas, or first-principles thinking.
A reasonable estimate of the base salary compensation range for the San Francisco Bay Area is $130,000 to $220,000, cash bonus, and equity. #LI-IB1; #LI-Hybrid;
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site atwww.heartflow.com/about/careers/ .
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Software Engineer, ML San Francisco, California employer: HeartFlow, Inc.
Contact Detail:
HeartFlow, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, ML San Francisco, California
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of hearing about job openings before they’re even posted.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to ML and software engineering. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Don’t forget to brush up on your communication skills too—being able to explain your thought process is just as important as solving the problem!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website. It shows your genuine interest in Heartflow and helps us keep track of your application. Plus, it’s the best way to ensure your resume lands in the right hands!
We think you need these skills to ace Software Engineer, ML San Francisco, California
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer role at Heartflow. Highlight your experience with ML algorithms, cloud computing, and any relevant projects that showcase your skills in software engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about using ML in healthcare and how your background aligns with Heartflow's mission. Keep it concise but impactful!
Showcase Your Projects: If you've got a blog or portfolio showcasing your data science or engineering projects, include that link in your application. It’s a great way for us to see your hands-on experience and creativity!
Apply Through Our Website: We encourage you to apply directly through our website. It ensures your application gets to the right people and helps us keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at HeartFlow, Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning algorithms, especially convolutional neural networks and image processing techniques. Be ready to discuss how you've applied these in past projects or roles, as this will show your practical experience.
✨Show Your Passion for Healthcare Tech
Heartflow is all about revolutionising heart care, so express your enthusiasm for using technology to make a difference in healthcare. Share any relevant experiences or projects that highlight your interest in medical technology and how it can impact patient outcomes.
✨Prepare for Technical Questions
Expect technical questions related to software engineering principles and practices. Brush up on your programming skills, particularly in Python or C++, and be prepared to solve coding problems on the spot. Practising common algorithm challenges can really help!
✨Communicate Clearly
Since you'll be working cross-functionally, it's crucial to demonstrate excellent communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to convey ideas to both technical and non-technical audiences during your interview.