Senior Machine Learning Engineer, AKASA

$175-230k

+ Equity

AWS

Python

Tensorflow

C++

Spark

Scikit-Learn

PyTorch

Senior and Expert level

San Francisco Bay Area

In office on Wednesdays

1 day a week in office (South San Francisco)

AI-powered automation for the healthcare revenue cycle

Open for applications

AI-powered automation for the healthcare revenue cycle

201-500 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSAutomation

Open for applications

$175-230k

+ Equity

AWS

Python

Tensorflow

C++

Spark

Scikit-Learn

PyTorch

Senior and Expert level

San Francisco Bay Area

In office on Wednesdays

1 day a week in office (South San Francisco)

201-500 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSAutomation

Company mission

To enable human health by building the future of healthcare with AI.

Job

Company

Role

Who you are

Master's degree in Computer Science or similar
5+ years of work experience in machine learning and data engineering
Have experience launching production systems from the ground up
Proficiency in one or more programming languages such as Python and C++
Development experience with cloud platforms such as Spark, AWS & k8s
Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow
Full-stack development experience for an end-to-end ML solution
Ideal experience with Large Language Models, including both open source model deployment and agentic workflows

What the job involves

As a Sr. Machine Learning Engineer, you'll report to our VP of Engineering and work with machine learning (ML) PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google).
You will put machine learning into practice, so your code directly affects our customers immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images
The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company
The local R&D teams come into the office every Wednesday for co-working days, which this role will be expected to attend
Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems
Help develop pipelines that collect, preprocess, and deliver data with a measurable quality
Write production-ready software with well-tested and efficient algorithms
Develop state-of-the-art ML algorithms across computer vision, large-language models, and probabilistic inference to solve problems like medical document entity extraction, medical coding and claim outcome prediction
Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment
Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways

Our take

The US healthcare system is both financially and operationally complex. It is estimated to cost patients and providers $500 billion annually in medical billing and insurance administrative expenses. AKASA, formerly Alpha Health, addresses this issue with its Unified Automation technology

The technology is designed to streamline revenue cycle operations by combining human expertise with AI-driven automation. It deploys machine-learning tools supported by revenue cycle specialists who can handle more complex cases and refine the algorithms.

This blend of human and machine intelligence is a stand-out approach, which could well serve as a blueprint for other sectors. Meanwhile, AKASA will continue to help reshape the healthcare industry by solving its complex operational challenges.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-17% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (last 2 of 4 rounds)

Jun 2024

$120m

SERIES C

Mar 2021

$60m

SERIES B

Total funding: $205m

Company benefits

Unlimited paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)
Generous parent leave policy
Full employee coverage for life insurance
Company-paid holidays
401(K) plan

Company HQ

The East Side, South San Francisco, CA

Leadership

Malinka Walaliyadde

(Co-Founder & CEO)

Previously worked at Andreessen Horowitz (a16z), Counsyl and Corning Life Sciences. They have an Engineering degree from Cornell University.

Varun Ganapathi

(Co-Founder & CTO)

They have successfully started two AI companies prior to AKASA. One was acquired by Google and the other by Udacity.

Andy Atwal

(Co-Founder & VP of Engineering)

Prior to AKASA, they were the founding Software Engineer at Counsyl, a health technology company offering DNA screenings for various diseases.

Ben Beadle-Ryby

(Co-Founder)

Previously, they were a Partner at the Advisory Board Company, where they oversaw revenue cycle consulting and technology.

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