AKASA

Sr. Engineering Manager, Machine Learning

South San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries

Requirements

Candidates should have a strong background in machine learning and engineering, with experience in managing engineering teams. A proven track record in deploying machine learning models in production environments is essential. Familiarity with large language models (LLMs) and experience in developing infrastructure for model development are required.

Responsibilities

The Sr. Engineering Manager will lead a team of engineers to enhance AKASA’s machine learning capabilities and deliver innovative products. They will supervise and contribute to all aspects of the LLM stack, including model fine-tuning, inference, evaluation, and deployment. Additionally, they will develop infrastructure and tooling to streamline the model development lifecycle.

Skills

Model fine-tuning
Inference
Evaluation
Deployment
LLM stack
Infrastructure
Tooling

AKASA

Automates revenue cycle management processes

About AKASA

AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.

Key Metrics

San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Flexible vacation policy.
Generous coverage for health, dental, and vision insurance.
Free membership to One Medical for you and your family.
Health FSA account.
Full employee coverage for life insurance.
401K plan.

Risks

Generative AI adoption may increase competition, eroding AKASA's market share.
Healthcare's cautious approach may slow adoption of AKASA's new technologies.
Integration with existing EHR systems may pose implementation challenges for AKASA.

Differentiation

AKASA uses AI to automate complex revenue cycle tasks in healthcare.
Their solutions decrease A/R days by 13% and increase efficiency by 86%.
AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.

Upsides

AKASA's GenAI solutions reduce prior authorization time by up to 50%.
Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.
AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.

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