Machine Learning Engineer - NJ

Photon$100K — $140K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate or graduate degree in Computer Science, Mathematics, Physics, or related fields; PhD preferred.
  • Minimum 5 years of experience in data analytics, with core knowledge of statistical algorithms.
  • Familiarity with analytics use cases such as language analysis and dynamic pricing.
  • Strong experience with Python machine learning libraries like scikit-learn, TensorFlow, and PyTorch.
  • At least 4 years of experience with Spark, specifically PySpark.

Responsibilities

  • Design analytics models based on specific business use cases using advanced statistical and machine learning algorithms.
  • Develop machine learning algorithms to enhance personalized customer experiences.
  • Utilize data mining and machine learning techniques for tasks like forecasting and fraud detection.
  • Augment company data with third-party sources to enhance analytics capabilities.
  • Improve data collection methods for better analytics system construction.
  • Clean and prepare raw data for analysis using tools like Pandas and NumPy.
  • Implement scalable machine learning models using tools like PySpark in Databricks.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to work on cutting-edge technologies and large-scale data projects.
  • Professional development resources and support for continuous learning.
Full Job Description
Job Description

Summary:

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and engineering teams to solve complex business problems, identify data-driven opportunities, and create personalized experiences for customers. You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

Key Responsibilities:Analytics Model Development:
  • Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
  • Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
  • Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.

Data Engineering and Preparation:
  • Extend and augment company data with third-party data to enrich analytics capabilities.
  • Enhance data collection procedures to include necessary information for building analytics systems.
  • Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).

Machine Learning Model Implementation:
  • Implement machine learning models, considering both performance and scalability using tools like PySpark in Databricks.
  • Design and build infrastructure to facilitate large-scale data analytics and experimentation.
  • Work with tools like Jupyter Notebooks for data exploration and model development.

What We're Looking For:
  • Educational Background: Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
  • Experience:
    • At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
    • High-level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
  • Technical Skills:
    • Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
    • Proficiency in using analytics platforms like Databricks for large-scale data processing.
    • At least 4 years of continuous experience with Spark, particularly PySpark implementation.
    • Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.

About Photon

Photon Careers

Joining Photon presents an unparalleled opportunity to advance one's career with a leader in digital innovation. Photon is actively seeking talented individuals to join its diverse team of professionals, dedicated to reshaping industries through technology and creativity.

Explore Job Opportunities

Photon offers a variety of job opportunities that cater to a range of skills and interests. Each position at Photon is designed to challenge team members while providing meaningful pathways for professional and personal growth.

Experience the Culture and Benefits

Photon is committed to fostering a workplace culture that promotes diversity and inclusion. The company provides comprehensive benefits designed to support the health, well-being, and financial security of each team member. At Photon, every professional enjoys access to career development programs and diversity training, ensuring they are equipped for leadership roles in an evolving marketplace.

Engage in Professional Growth

Photon believes in the power of innovation and leadership to drive success. The company supports its team members with resources for continuous learning and growth, including advanced training sessions and leadership workshops. Networking within Photon’s industry-leading community allows for unparalleled career advancement and skill enhancement.

Internship Programs

For those beginning their professional journey, Photon offers internship programs that provide a robust foundation in digital solutions. Internships at Photon are characterized by immersive projects and hands-on learning, guided by experts in various fields. These programs are a gateway to full-time employment and a promising career path.

Join the Team

Photon is hiring! Explore open positions that match your skills and interests. Photon looks for passionate, curious, creative, and solution-driven team players. Whether you are starting your career or looking to make a significant impact in your professional journey, Photon has a place for you.

Prepare for Your Interview

Photon values a thorough selection process. Prospective team members are encouraged to prepare by understanding the company’s mission and values. Tailoring your resume to highlight relevant experience and skills will make a significant difference. Engage actively during your interview, demonstrating your knowledge and enthusiasm for the role you are applying for.

Stay Connected

Keep up to date with the latest from Photon by following the company’s career blog. Gain insights from insiders, learn about new job openings, and get tips on preparing your resume and acing your interview.

Career Development at Photon

Photon is dedicated to the professional development of its team members. The company offers various tools and resources, including career coaching and performance feedback, to help individuals reach their full potential. With Photon, career aspirations are nurtured, encouraging every team member to excel and innovate in their respective roles.

Networking and Career Opportunities

Photon encourages its team members to engage in networking within the company and the broader industry. These connections can lead to myriad opportunities, from collaborative projects to mentorship. Networking at Photon is not just about building professional relationships; it's about fostering a community of innovation and mutual growth.

Conclusion

Photon is not just a company; it is a community of driven professionals committed to making a difference. With a focus on innovation, leadership, and diversity, Photon offers a dynamic environment where ambitious individuals can thrive. Explore the possibilities and join Photon’s team of leaders, innovators, and visionaries.
Learn more about Photon

Similar Jobs

More Jobs at Photon

More Enterprise Technology Jobs

Find similar Machine Learning Engineer - NJ jobs: