Machine Learning (ML) Engineer

ABOUT US

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

Reflex Media is a next-generation high-tech marketing company led by our Founder & CEO, an MIT alumni. Based in Las Vegas, Nevada, our company operates as a 100% remote organization, and as such, we are seeking to hire the best talents nationwide (as well as worldwide).

Our business is as much data, software, and artificial intelligence as it is business operations and customer service. We also create at the forefronts of psychology, economics, music, literature, art, fashion, cinematography, and the science of marketing.

Our company culture can best be described in three words : growth, passion, and excellence. Our Founder, who subscribes to the philosophy what cannot be measured cannot be managed, is committed to creating an environment where the opportunity to grow is unbounded.

As a company where you get back as much as you put in, we are best suited for individuals who are looking not for a job but rather an opportunity to grow and significantly add.

In short, we are a company where superstars are developed.

WHO WE'RE LOOKING FOR

• Brand Advocates : Individuals who deeply understand and align with the Seeking.com brand, embracing our mission and our innovative approach to modern dating and hypergamy.
• Passionate Professionals : Enthusiastic team members committed to fostering meaningful connections and aiding others in finding relationships that align with their ambitions and desires.
• Ambitious Learners : Driven candidates who are not only eager to learn and grow but are also ready to continuously expand the boundaries of their capabilities.
• Innovative High Performers : Professionals who excel beyond conventional boundaries, introducing innovative, outside-the-box solutions and ideas.
• Proactive Communicators : Exceptional communicators who thrive on feedback and are eager to make substantial contributions to the company.
• Resilient Problem Solvers : Individuals who show great endurance and flexibility in the face of challenges, coupled with a strong ability to think critically and solve complex problems effectively.
• Adaptable Innovators : People who can swiftly adjust to new conditions and challenges while continuing to drive forward-thinking solutions and improvements.

CAREER OPPORTUNITY

We are currently seeking a full-time Machine Learning Engineer to join our dynamic team. In this role, you will collaborate closely with the data science and product teams, as well as other key departments across the organization.

Your primary responsibilities will include developing, optimizing, and implementing machine learning models and algorithms that enhance our website's functionality and user experience.

You will play a critical role in identifying opportunities for applying machine learning techniques to solve complex problems and improve our products.

ESSENTIAL DUTIES & RESPONSIBILITIES

• Collaborate with data scientists, product and marketing teams, translating business needs into technical specifications for ML solutions.
• Develop machine learning models and algorithms.
• Evaluate, tune, and iterate models until desired effectiveness is achieved (targeted precision, F1, type-II error rates, etc.).
• Assist in overall architecture design, model deployment, and integration with existing systems.
• Optimize ML model deployments for performance and scalability, ensuring they operate efficiently within production environments.
• Optimize cost in training schemes, deployment options, and inference endpoints.
• Implement automated processes for data preparation, model training, testing, and deployment.
• Consult with development, product, and marketing teams regarding data collection requirements.
• Monitor and maintain ML systems, addressing any issues to ensure they deliver consistent, reliable performance.
• Stay up-to-date with ML technologies and methodologies advancements, incorporating best practices into our projects.

SKILLS & QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, Statistics, or related technical field.
• Three years’ proven experience as an effective ML Engineer, Data Engineer, Data Scientist, or similar technical role.
• Demonstrable working experience in ML model building, iteration, evaluation, retraining, and maintenance (re-evaluation, etc.).
• In-depth knowledge of machine learning model development lifecycles.
• Strong programming skills (Python preferred).
• Strong database experience (advanced SQL skills a must).
• Working experience with Linux servers, BASH, and process management.
• Working experience using ML frameworks (PyTorch, Tensorflow, Huggingface, Transformers, LangChain, etc.).
• Demonstrable experience with software engineering tools and best practices (version control, writing extensible code, contributing to and maintaining a shared codebase, containerization, etc.).
• Working experience with cloud computing platforms and services (AWS preferred).
• Knowledge of CICD best practices and tooling (automated testing and deployment pipelines, etc.)
• Solid data-related judgment - has a nose for data correctness, knowledge of dataset biases and how to correct for them, etc.
• Strong statistical knowledge and analytical skills.
• Self-starter - unafraid to make decisions and take risks.
• Excellent problem-solving abilities and strong communication skills, capable of collaborating effectively with cross-functional teams.
• Desire to work in a fast-paced and results-driven environment where personal contribution can immediately translate into real business impact.

Great to have

• Master’s Degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
• Portfolio of projects demonstrating expertise in machine learning, data analysis, and / or system integration.
• Working experience with recommended systems, ensemble methods, LLMs, and / or RAG-based systems.
• In-depth working experience with specific AWS services (Sagemaker, API Gateway, Lambda, Redshift, Redshift Spectrum, ECR, EC2, S3, DynamoDB, Cloudwatch)
• API maintenance and development experience.
• Micro-services management and development experience.

BENEFITS & PERKS

• 99% coverage of our medical base plan, dental, and vision insurance.
• 65% coverage of our medical base plan, dental, and vision insurance for qualified dependents.
• 100% coverage of short-term disability, long-term disability, and life insurance for qualified employees.
• 50% 401(k) match up to 6% per month.
• Flexible Spending Account (FSA).
• Flexible paid time off.
• And so much more!

EQUAL-OPPORTUNITY EMPLOYER

Reflex Media is an equal-opportunity employer committed to diversity and inclusion in the workplace. We strictly prohibit discrimination of any kind.

Candidates are encouraged to apply for qualified positions regardless of race, color, sex, religion, sexual orientation, national origin, disability, genetic information, or any other protected characteristics as outlined by federal, state, or local laws.

Reflex Media's hiring decisions are based solely on qualifications, merit, and the needs of the company. All offers of employment are contingent upon the completion of a full background and reference check.

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