Machine Learning Operations Engineer, Precision Neuroscience
$190-210k
More information about location
3+ days a week in office
Building powerful, minimally invasive brain implants
Be an early applicant
Building powerful, minimally invasive brain implants
21-100 employees
Be an early applicant
$190-210k
More information about location
3+ days a week in office
21-100 employees
Company mission
To provide breakthrough treatments for the one billion patients worldwide suffering from neurological illnesses.
Role
Who you are
- 5+ years of experience creating ML infrastructure for deep learning models dealing with data at scale. 10+ years of software engineering experience
- Deep knowledge of AWS and the AWS suite including a majority of the following: Sagemaker Studio, AWS Kinesis, S3, EC2, Lambda, Cloudwatch, EMR, Elastic Docker Container
- Solid understanding of ML concepts (e.g., model selection, deep learning architectures, hyperparameter tuning) Ability to understand ML code leveraging modern ML and data frameworks such as Pytorch, Tensorflow, numpy and scikit-learn. Knowledge of AI/robotic frameworks like OpenCV, ROS2, Kaldi strongly preferred
- Data engineering with distributed data processing and distributed training
- Experience with MLOps frameworks like Kubeflow, MLFlow, Airflow, etc
- Familiarity with containerization and orchestration tools such as Dockers and Kubernetes
- Knowledge of A/B testing and benchmarking model performance in production
- Expertise with Python and related ML libraries. Working knowledge of C++
- PyQt user interface development experience or willingness to learn
- Experience with IoT, edge computing and/or robotic systems strongly preferred
- Knowledge of HIPPA, development of software/AI for medical devices is a plus
What the job involves
- As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible
- You will be joining a well capitalized and fast-moving company. In the two years since Precision’s founding, we have built and validated a product and have begun human trials in partnership with some of the country’s leading neurosurgery programs
- And you will be working toward a deeply meaningful goal: restoring function to people living with devastating neurological conditions, including stroke, spinal cord injury, traumatic brain injury, and neurodegenerative disease such as ALS
- Our platform will enable these individuals to regain independence, communicate with loved ones, and return to work
- We are seeking a ML Ops Engineer. As a ML Ops Engineer, you will bridge the gap between data science and operations by building and maintaining highly automated, self-service, infrastructure, pipelines, and processes needed to deploy and monitor machine learning models in production environments
- You will also contribute heavily to creating data collection and labelling software
- Build a paved path for ML engineers to preprocess data, train models and validate models
- Start by leveraging AWS infrastructure and later swap out AWS components with third party tools or home grown modules as necessary
- Also build infrastructure that can run training and inference at the edge and allow the seamless movement of ML training and inference code between the cloud and the edge
- We work with clinical partners around the country. Your team mates could be anywhere in the continental US
- Staying in touch with our clinical partners and your team mates could require up to 20% travel
- Design: Create architecture/design documents for components you own. Lead/participate in Threat Model Analysis (TMA) and risk management activities
- Backend Programming: Optimize the efficiency of the ML team by creating dashboards, data pipelines training, inference and labelling infrastructure for the unique needs of our ML team and the product we need to build
- Deployment: Build scalable infrastructures for training and inference of machine learning models. Create CI/CD pipelines and automation tools for continuous deployment and integration of machine learning models
- Quality: Write automation frameworks, test plans, unit and integration tests. Work with the SW QA team on automated and manual system testing
- Teamwork: Provide timely design and code reviews. Test the code written by your peers
- Regulatory: Research and adhere to the software development process requirements mandated by various regulatory bodies
Our take
Precision Neuroscience is finding new, practical ways of improving the lives of those who are suffering from neurological conditions.
The Layer 7 Cortical Interface is an implant that’s 1/5th the thickness of a human hair and can be fitted onto the human brain without damaging it. Through minimally invasive micro-slit surgery, the brain implant can process data and aims to move brain-computer interfaces (BCI) technology from small-scale research into a new era of worldwide usage.
The long-term goal of the Layer 7 Cortical Interface is to allow customers to interact with people and the world via digital means. Whilst the market is blooming with new companies exploring the possibilities of BCI technology, Precision has an advantage in that its solution requires minimal surgery and is reversible, meaning that it has wider implications than just neurological disorders.
Work is ongoing but with substantial funding behind it, Precision is using its investment to ramp up product development and FDA regulatory review as well as expanding its team.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Dec 2024
$102m
SERIES C
Nov 2024
$93m
LATE VC
Total funding: $249m
Company values
- We believe that the best technology puts people first. While brain–computer interface technology has exciting implications for the future of computing, everything we do at Precision is geared towards creating tangible, near-term benefits for our users: people suffering from neurological disorders.
Company HQ
Kips Bay, New York, NY
Articles
Leadership
Michael Mager
(CEO & Co-Founder)Currently Co-Chairman at Assembly Software and Partner at Ridge Road Partners, Board Member at Supply Finance.
Mark Hettick
(Vice President of Engineering - Microfabrication)Previously Process Engineer at Neuralink, Lead Safety Coordinator at Berkeley Labs and Research Assistant at the Joint Center for Artificial Photosynthesis.
Benjamin Rapoport
(Chief Science Officer & Co-Founder)Previously Scientific Director of the BioDesign Program at Mount Sinai Health Systems. Previously Neurosurgery Residency at Weill Cornell Medicine and Founding Member at Neuralink.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 9 more jobs at Precision Neuroscience