Data Engineer (Staff/Senior)
Company: Abridge AI Inc.
Location: San Francisco
Posted on: November 6, 2024
Job Description:
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.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.The RoleOur generative AI-powered
products are revolutionizing the practice of medicine, and we're
looking for a highly motivated Data Engineer to join our growing
US-based Data Engineering team. In this crucial role, you will
build and optimize large scale data infrastructure to drive
business decisions and machine learning research.What You'll Do
- Build and maintain scalable data services, pipelines and
storage solutions for the feedback of unstructured application data
for ML training and evaluation purposes.
- Build and manage OLAP databases, ELTs and general data tooling
for analytics, business decisions and product features.
- Work closely with a team of frontend and backend engineers,
product managers, and analysts.
- Optimize data infrastructure to enhance the throughput, latency
and reliability of the data system.
- Investigate and correct issues identified through data
operations monitors, tools, and reports.
- Design data integrations and data quality framework.Who You Are
- 5+ years of experience in Data Engineering or Backend
Engineering with a focus on data systems.
- Proficient in at least one general purpose programming language
(e.g., Python, Java, Scala) and SQL (any variant).
- Proficiency with at least one modern cloud provider (GCP, AWS,
Azure) and accompanying data services.
- Experience in building systems that manage the ingest,
transformation, and management of both structured and unstructured
data types.
- Deep knowledge of modern data infrastructure best
practices.
- Experience with distributed systems and different distributed
processing frameworks.
- Experience with Terraform, Kubernetes, and containerization
technologies.
- Familiarity with deploying ML models at scale is a bonus.
- Experience in building data products that are well-modeled,
documented and easy to understand and maintain.
- Ability to prioritize amidst changing priorities in a fast
moving environment.Base Salary$200,000 USD - $265,000+ USD per year
+ Equity. The salary range provided is based on transparent pay
guidelines and is an estimate for candidates residing in the San
Francisco and New York City metro areas. The actual base salary
will vary depending on the candidate's location, relevant
experience, skills, qualifications, and other job-related factors.
Additionally, this role may include the opportunity to participate
in a company stock option plan as part of the total compensation
package.Work RequirementsMust be willing to work from our SF office
at least 3x per week. This position requires a commitment to a
hybrid work model, with the expectation of coming into the office a
minimum of three times per week. Relocation assistance is available
for candidates willing to move to San Francisco.Must be willing to
travel up to 10%. Abridge typically hosts a three-day builder team
retreat every 3-6 months. These retreats often feature internal
hackathons, collaborative project sessions, and social events that
allow the team to connect in person.Why Work at Abridge?
- Be a part of a trailblazing, mission-driven organization that
is powering deeper understanding in healthcare through AI!
- Opportunity to work and grow with talented individuals and have
ownership and impact at a high-growth startup.
- Flexible/Unlimited PTO - Salaried team members can take off as
much approved time off as they need, plus 13 paid holidays.
- Equity - For all salaried team members.
- Medical insurance - We pay 100% of the premium for you + 75%
for dependents. 3 Aetna plans to choose from.
- Dental & Vision insurance - We pay 100% of the premium for you
+ 75% for dependents. 2 Aetna plans to choose from.
- Flexible Spending (FSA) & Health Savings (HSA) Accounts
- Learning and Development budget - $3,000 per year for coaching,
courses, workshops, conferences, etc.
- 401k Plan - Contribute pre-tax dollars toward retirement
savings.
- Paid Parental Leave - 16 weeks paid parental leave for all
full-time employees.
- Flexible working hours - We care more about what you accomplish
than what specific hours you're working.
- Home Office Budget - We provide up to $1,600 in a one-time
reimbursement to set up your home office.
- Sabbatical Leave - 30 days of paid Sabbatical Leave after 5
years of employment.
- ...Plus much more!Diversity & InclusionAbridge 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).
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Keywords: Abridge AI Inc., Santa Rosa , Data Engineer (Staff/Senior), Engineering , San Francisco, California
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