What are the responsibilities and job description for the Machine Learning Engineer position at 4MindsAI Inc.?
Mission
4Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider.
Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems.
Role Overview
We are seeking a talented Machine Learning Engineer to join our team, where you'll be at the heart of developing and optimizing the core AI functionality of our systems. You will have the opportunity to work with cutting-edge Nvidia technologies, fine-tuning and deploying advanced machine learning models, while collaborating closely with data engineers to ensure high-quality data preprocessing and model experimentation.
Key Responsibilities
Compensation
We like to be efficient but do our due diligence. Here’s what you’ll expect from us:
Hit that apply button and provide the following:
4Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider.
Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems.
Role Overview
We are seeking a talented Machine Learning Engineer to join our team, where you'll be at the heart of developing and optimizing the core AI functionality of our systems. You will have the opportunity to work with cutting-edge Nvidia technologies, fine-tuning and deploying advanced machine learning models, while collaborating closely with data engineers to ensure high-quality data preprocessing and model experimentation.
Key Responsibilities
- Develop, train, and fine-tune machine learning models with a focus on improving core AI system functionalities.
- Collaborate with data engineers to preprocess and clean data for efficient model ingestion and training.
- Experiment with Nvidia’s NVLM models to push the boundaries of AI performance and optimize models using TensorRT for efficient deployment on CUDA hardware.
- Design and implement A/B testing frameworks, set up experiments, and analyze results to measure and enhance model performance.
- Master’s degree in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred.
- Proficiency in Python and hands-on experience with TensorFlow and PyTorch for model development and training.
- Demonstrated experience of training and deploying large models on GPUs, ensuring high-performance outputs.
- Strong expertise in Nvidia’s AI stack, including CUDA, TensorRT, and NVLM for model optimization and deployment.
- Experience in setting up and running A/B testing experiments to evaluate and improve AI model accuracy and performance.
- Ability to work on-site 5 days a week, full time from our Dallas, TX office.
- Doctor of Philosophy in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred.
- Experience working with large-scale datasets and optimizing model training for high computational efficiency.
- Knowledge of GPU hardware acceleration and real-time inference optimization using Nvidia technologies.
- Familiarity with continuous integration and deployment practices for machine learning models.
- Coachable and humble individual looking to turn themselves into a top 1% engineer
Compensation
- Base salary range: $130,000 - $200,000 annually
- Competitive equity package in venture-backed startup
- Performance-based bonus structure
- Annual merit-based salary reviews
- Stock
- Comprehensive medical, dental, and vision coverage (80% employer-paid)
- 401(k) plan with company match
- Unlimited PTO policy with 15 days minimum
- 11 paid company holidays
- Flexible Spending Account (FSA) and Health Savings Account (HSA) options.
- Annual training and certification budget
- Access to online learning platforms
- Conference attendance opportunities
- Regular internal technical workshops and knowledge sharing sessions
- Location: Onsite in Dallas
- High-performance workstations
- Modern office space in Dallas with standing desks and ergonomics equipment
- Monthly team events and learning sessions
- Collaborative in-office environment fostering innovation and teamwork
We like to be efficient but do our due diligence. Here’s what you’ll expect from us:
- Interview with Recruiter (30-60 minutes)
- Interview with Hiring Manager (30 minutes)
- Technical Interviews and/or Presentation
- Interview with CEO
Hit that apply button and provide the following:
- Detailed Resume
- Git Hub profile or code samples
- Portfolio of relevant work
- Brief cover letter describing your development experience
- References from previous roles
Salary : $130,000 - $200,000