Staff Machine Learning Systems Engineer

Abridge
Little Ferry, New Jersey, US
$200K-$250K a year
Full-time
We are sorry. The job offer you are looking for is no longer available.

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most their patients.

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations.

Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output.

As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.

Candidates located in Pittsburgh, San Francisco or New York preferred

The Role

From transcribing medical parts of the conversation to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible.

We're currently looking to add a machine learning engineer to our team to help us build and release more machine learning-powered value to our users.

What You'll Do

  • Architect, design, and implement high-quality machine learning software applications, infrastructure, and tools.
  • Lead technical domains starting from the problem definition and technical requirements along with implementation and maintenance
  • Collaborate with machine learning researchers and engineers to implement and deploy algorithms, such as machine learning models.
  • Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation.
  • Create re-usable software and systems to accelerate development.
  • Profile, tune, and optimize system performance and debug production issues.
  • Design systems for fault tolerance, scalability, security and continuous improvement.

What You'll Bring

  • Bachelor's Degree or greater in Computer Science / Engineering, Statistics, Mathematics, or equivalent.
  • 5+ years of industry software development experience, with a background in design patterns, data structures, and test-driven development.
  • Proficient in developing production-quality software in languages such as C++, Python, or Java.
  • Proficient with professional software engineering practices & standard practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience with cloud based environments, Kubernetes or Docker, and Infrastructure as Code (Terraform, etc.)
  • Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation and experimentation.
  • Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking and storage, performance, and scale
  • Excellent interpersonal and written communication skills

Ideally, You Have

  • Experience in one or more relevant technical areas : natural language processing, machine learning, distributed systems, or building infrastructure for engineering / science users.
  • Expertise in machine learning toolchains and techniques, such as Pytorch or Tensorflow.
  • Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation.

Why Work at Abridge?

  • Be a part of a trailblazing, mission driven organization that uses audio as the wedge to improve the healthcare delivery experience
  • Unlimited PTO, plus 12 national holidays
  • Comprehensive and generous benefits package :
  • 16 weeks paid parental leave, for all employees
  • Flexible working hours we care more about what you accomplish than what specific hours you’re working
  • Remote work environment
  • Equity for all new employees
  • Generous equipment budget for your home office setup ($1600)
  • Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup.
  • Plus much more!

Life at Abridge

At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the inverse way in a legacy system focusing on patients, instead of the system;

focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.

Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time.

We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields.

Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI / UX, or writing responses for Medicare rules to influence U.

S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).

Staying Safe - Protect Yourself From Recruitment Fraud

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and / or hiring managers.

Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process.

Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article.

Please exercise caution and cease communications if something feels suspicious about your interactions.

Compensation Range : $200K - $250K

J-18808-Ljbffr

4 days ago
Related jobs
Promoted
LHH
Secaucus, New Jersey

Staff IT Cloud Systems Engineer. Participate in projects and help engineer new systems. This person will provide support for a wide range of IT systems and services including the corporate virtualization environment, and will be responsible for designing, implementing, and managing cloud infrastruct...

Promoted
Capital One
Newark, New Jersey

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...

JPMorgan Chase & Co.
Jersey City, New Jersey

As a Senior Machine Learning Engineer in our Digital Intelligence team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions. Expert in one or more of the following: machine learning, Graph learning, recommendation systems, network analysis, Natural la...

ZT Systems
Secaucus, New Jersey

Supplier Quality Engineer who will work collectively with multiple functions within ZT to drive quality improvements focused on our GPU and compute products. The Supplier Quality Engineer will analyze field, production, and supplier data to develop plans and improvement actions, drive root cause and...

Shipt
New Jersey
Remote

As a Machine Learning Engineer, emphasizing collaborative review processes, you will actively participate in code and design reviews within the team. You will work closely with many teams, such as product managers, engineers, and other data scientists, as an essential component of the Search and Per...

JPMorgan Chase & Co.
Jersey City, New Jersey

Strong understanding of machine learning algorithms, including time series algorithms, deep learning, reinforcement learning, and classical ML techniques. As a Machine Learning Engineer within the Storage team of Compute Network Storage (CNS), you will collaborate with a team of passionate and innov...

ZT Systems
Secaucus, New Jersey

Master’s Degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Systems Engineering,or equivalent with 3+ years of relevant experience. Bachelor’s Degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Systems Engineering, or equivalent wit...

Prudential Financial
Newark, New Jersey

As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. Machine Learning and De...

Lockheed Martin
New Jersey

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy experienced individual with a strong background in software engineering, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects ac...

ZT Systems
Secaucus, New Jersey

As a Staff Hardware Development Systems Engineer, you will assume a critical role in the design and development of groundbreaking server platforms, overseeing the entire product lifecycle from concept to launch. Coordinate the design of subsystems and oversee the integration of the entire system, en...