Machine Learning Engineer

Position Title: Machine Learning Engineer

Department: Data Engineering

Reports to: Manager of Data Engineering

Classification: Salary (Exempt)

Company Profile

Fragrance.com is a worldwide leading beauty e-commerce company created to provide the public with access to the largest inventory of genuine, brand name fragrances, skincare, candles, aromatherapy and more.

Job Overview

As a Machine Learning Engineer, you will work closely with the Manager of Data Engineering and cross-functional teams to acquire, clean, and analyze data, build and optimize machine learning models, and deploy them into production. You will play a crucial role in developing models that directly impact business outcomes.

Responsibilities

• Data Acquisition & Cleaning: Collect and preprocess large datasets, ensuring data quality and transforming raw data into usable formats for model training.
• Exploratory Data Analysis (EDA): Perform data analysis to uncover patterns, trends, and insights that inform model development.
• Feature Engineering: Identify and create relevant features from raw data to enhance model accuracy and performance.
• Model Building & Selection: Develop, select, and fine-tune machine learning models using the most appropriate algorithms for various business applications.
• Model Validation & Deployment: Validate models through rigorous testing, ensuring they meet performance standards, and deploy them into production environments.
  
  
  

Skill/Experience/Proficiency Requirements

• Technical Skills: Proficiency in Python or R, with experience in machine learning libraries (e.g., TensorFlow, PyTorch) and data manipulation, data visualization (Matplotlib or Seaborn) and Structured Query Language (SQL).
• Knowledge of Machine Learning Algorithms: Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
• Soft Skills: Strong problem-solving abilities, effective communication skills, and a collaborative mindset. Eagerness to learn and stay current with new technologies and methods.
  
  
  

Educational Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Relevant coursework or certifications in machine learning is a plus.
  
  
  

Prferred, Not Required

• Proficiency in ML Ops tools (e.g., MLflow or Anaconda)
• Experience with Snowflake or Databricks
  
  
  

LIMITATIONS AND DISCLAIMER

The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.

FRAGRANCE.COM BENEFITS:

• Medical, Dental, Vision Insurance
• PTO and Paid holidays
• Paid Sick & Safe Leave
• Paid Prenatal Leave
• Short Term Disability
• Life Insurance
• Accident & Critical Illness
• Flexible Spending Account
• 401(k) Retirement Savings Plan and match
• Employee Discounts
• This is a direct hire. No agencies or recruiters please**
  
  
  

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Fragrance.com is firmly committed to the principle of equal employment opportunity. Fragrance.com offers employment opportunities without regard to race, color, sex, age, religion, national origin, disability, U.S. military and or other prohibited bases of discrimination, both state and local. All aspects of the employment relationship (including recruiting, hiring, training, working conditions, compensation, promotion, discipline, and termination) are subject to this policy.