Python Machine Learning Engineer, Solace

Salary not provided

SQL

AWS

Docker

Python

Postgres

Airflow

Flask

Snowflake

Sagemaker

FastAPI

Mid and Senior level

Remote from US

More information about location

Patient advocates for navigating healthcare

Be an early applicant

Patient advocates for navigating healthcare

21-100 employees

HealthcareB2CSaaS

Be an early applicant

Salary not provided

SQL

AWS

Docker

Python

Postgres

Airflow

Flask

Snowflake

Sagemaker

FastAPI

Mid and Senior level

Remote from US

More information about location

21-100 employees

HealthcareB2CSaaS

Company mission

To bring humanity back to healthcare by empowering patients, improving outcomes, and restoring the promise of the US healthcare system.

Job

Company

Role

Who you are

You are a builder at heart—someone who can navigate between code, infrastructure, and real-world impact
You understand the ML lifecycle end-to-end and thrive on making advanced analytics deployable, observable, and maintainable
Whether you're deploying models with SageMaker, building inference APIs with FastAPI, or automating pipelines with Airflow, you’re driven by shipping practical solutions that matter
Strong Python engineering skills, especially in ML model deployment
Proven experience with AWS services including SageMaker, Lambda, ECS, and API Gateway
Comfort building APIs with FastAPI or Flask for model inference
Familiarity with orchestration tools like Airflow and Step Functions
Understanding of CI/CD, containerization (Docker), and versioning for ML
Solid SQL skills and experience integrating with Snowflake or Postgres
Bonus: experience with ML observability tools (e.g. MLflow), serverless architectures, or startup/healthcare settings

What the job involves

As a Python ML Engineer at Solace, you’ll own the deployment and operationalization of machine learning models that power intelligent features across our platform
You’ll work hand-in-hand with data scientists and product teams to take algorithms from prototype to production—building scalable, reliable systems in AWS that directly improve healthcare access and outcomes for our patients
Deploy machine learning models from prototype to production, working closely with data scientists and product stakeholders
Build scalable ML inference systems using AWS services like SageMaker, Lambda, ECS, and S3
Develop APIs and serverless endpoints to enable real-time and batch inference
Design and automate pipelines for data prep, feature engineering, training, and retraining workflows using Airflow or Step Functions
Monitor and optimize model performance, observability, and reliability
Champion best practices around MLOps, CI/CD, and reproducibility
Improve model latency, cost, and performance in production environments
Contribute to the evolution of Solace’s ML infrastructure and internal tooling

Our take

The US healthcare system is complex and difficult to navigate. This leaves many patients overwhelmed with paperwork and insurance claims, and struggling against limited provider availability.

Solace has set out to tackle this issue, by connecting patients with expert healthcare advocates. These professionals, including former doctors and nurses, offer support and guide patients through their healthcare challenges.

With substantial funding to its name, Solace is in a position to expand its services, grow its network of advocates, and enhance coverage across Medicaid and private insurance plans. Alongside a partnership with Medicare, Solace aims to make healthcare advocacy more accessible and continue empowering patients with expert support.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Apr 2025

$60m

SERIES B

Aug 2024

$14m

SERIES A

Total funding: $74m

Company HQ

Centennial, Redwood City, CA

Leadership

Jeremy Gurewitz

(Co-Founder & CEO)

Previously a VP at Literati and Imperfect Foods. Prior to that, they were a Senior Manager of Growth at Man Crates and an Associate Portfolio Manager at Lord Abbett & Co.

Sara Sargent

(Co-Founder & CPO)

Previously the Head of Brand at Synthesis and Literati. They were also an Independent Creative & Brand Strategist as well as the Lead Content Editor at MV3 Marketing.

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