[Remote] Senior Machine Learning Engineer at RepeatMD

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aesthetics and Wellness, SaaSIndustries

Requirements

Master's/PhD in Computer Science, Machine Learning, or equivalent practical experience
5+ years of experience in applied ML, with a focus on computer vision and generat

Responsibilities

Inherit, audit, and either harden or replace our current PoC. Your call, backed by data
Design a model platform that supports rapid hot-swapping, A/B testing, and instant rollback
Balance server GPU today with a practical path to partial on-device inference for privacy and latency
Model Development & Research: Evaluate and benchmark state-of-the-art models (segmentation, detection, SDXL/diffusion, LLM-based classifiers)
Model Development & Research: Select the best architectures balancing accuracy, inference speed, efficiency, and fairness
Model Development & Research: Develop generative models for before/after treatment previews, ensuring realism, inclusivity, and clinical credibility
Scalability & Optimization: Design inference pipelines optimized for low latency and high throughput
Scalability & Optimization: Use model compression, quantization, and distillation to reduce compute costs while maintaining accuracy
Scalability & Optimization: Leverage AWS (Lambda, Step Functions, SageMaker, GPU pipelines) or equivalent to build cloud-scale systems
Reliability & Guardrails: Build quality-control systems (blur detection, orientation/rotation correction, lighting checks)
Reliability & Guardrails: Implement multi-candidate generation + ranking for robustness
Reliability & Guardrails: Ensure identity consistency and similarity verification across generated images
Reliability & Guardrails: Develop fallback algorithms for resilience under failure modes
Production & MLOps: Package models for deployment into production at scale, with proper versioning and monitoring
Production & MLOps: Build CI/CD pipelines for continuous training, testing, and deployment
Production & MLOps: Define and track key performance metrics (latency, throughput, drift, fairness, user satisfaction)
Collaboration & Impact: Work with product, engineering, and clinical teams to align on accuracy, safety, and inclusivity goals
Collaboration & Impact: Stay up-to-date with research, and bring the best of academia and industry into production
Collaboration & Impact: Act as a thought partner in shaping responsible AI practices within the product
Collaboration & Impact: Mentor a small pod of ML and Platform engineers as hiring ramps

Skills

Machine Learning

Computer Vision

Model Training

Generative Models

Segmentation

Detection

SDXL

Diffusion

LLM

A/B Testing

GPU

On-device Inference

RepeatMD

Mobile rewards platform for medical practices

About RepeatMD

RepeatMD assists medical practices, particularly Med Spas, in boosting their revenue through a mobile rewards platform. They create customized mobile apps that allow patients to purchase treatments and memberships while earning rewards, enhancing patient engagement and loyalty. The company stands out by using artificial intelligence to automate patient reminders and referrals, which helps practices retain patients and attract new ones. RepeatMD's goal is to provide a comprehensive solution that streamlines the purchasing process and increases sales for medical practices.

Houston, TexasHeadquarters

2021Year Founded

$55MTotal Funding

DEBTCompany Stage

Fintech, AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Stock Options

Unlimited Paid Time Off

Hybrid Work Options

Parental Leave

Professional Development Budget

Risks

Increased competition from emerging SaaS platforms could dilute RepeatMD's market share.

Reliance on partnerships like Affirm poses risks if partnerships dissolve or face challenges.

Rapid growth may lead to operational challenges and strain on resources.

Differentiation

RepeatMD offers a unique mobile rewards platform for Med Spas and wellness practices.

The company integrates AI to automate patient engagement and enhance retention rates.

RepeatMD provides customized mobile apps, enabling direct treatment purchases and patient financing.

Upsides

RepeatMD surpassed 1 million users, ranking in the Top 200 shopping apps.

The partnership with BENEV enhances patient experience and industry presence.

Secured $50 million in funding to expand revenue automation in aesthetics and wellness.

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