Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine Learning Engineer.
United States Jobs Expertini

Urgent! Machine Learning Engineer Job Opening In Milpitas – Now Hiring Redfish Technology

Machine Learning Engineer



Job description

Machine Learning Engineer
US Remote


We are the recognized leader in AI-powered pricing and promotions.

Global brands and retailers rely on the platform to optimize pricing in response to market conditions and to deliver higher ROI on promotional spend.

Our Retail Pricing Suite and Offer Innovation Suite solutions are driving strong margin and sales volume improvements for leading companies such as Coca-Cola, Frito-Lay, Raley’s, and Walgreens.

Founded in 2013, we are headquartered in Palo Alto, California.


Reporting directly to the CTO, you will be at the center of what determines our success as a company.

You will analyze the data and develop production code using the newest Data Science and Machine Learning techniques to determine the optimal prices and promotions for major product manufacturers and retailers that sell these products.


Who You Are

  • You are an analytical, framework thinker

  • You are comfortable in a fast-paced environment

  • You are highly collaborative

  • You are very strong technically, with a good ability to translate a business problem into a technical one

  • You are business focused; measures work in its contributions to business outcomes and prioritizes effort against deliverables accordingly
  • Your Qualifications

  • You have 2+ years of experience in Data Science or Machine Learning

  • You have an BS., M.S., or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, Economics, Operations Research, or relevant quantitative field

  • You have excellent coding ability.

    Able to write optimized Python code (vectorization, lazy evaluation, etc.)

  • You are experienced with NumPy and Pandas

  • You have experience in test-driven development strongly preferred

  • You are strong in math (Linear Algebra, Calculus, etc.) and numerical problem solving (e.g. optimization)

  • You are experienced with Generalized Linear Models

  • Experienced in A/B testing and Design of Experiments preferred

  • Agile experience preferred

  • Familiarity with standard econometric methods is a big plus

  • Demand Modeling, Forecasting, Pricing, and Causal Inference experience a plus

  • Strong in statistics relevant to Machine Learning preferred (hypothesis testing, Bayesian methods, regressions, maximum likelihood estimation, etc.)

  • Nice to have: Neural Networks (Deep Learning, Embeddings, Sequence Modeling, CNN), Tree-based methods (GBDT, Random Forest), Regularization Methods (L1/L2 penalties, Feature Selection, Dimensionality Reduction)
  • What You’ll Do

  • You will generate ideas and quickly turn them into efficient, well-tested, functioning code in our Python codebase

  • You will partner with the Engineering team to create highly scalable solutions

  • You will research, implement and modify modern Data Science techniques.

    More specifically: Build Statistical and Machine Learning models that describe the impact of prices and promotions on shopper behavior, including behavioral pricing effects.

    You’ll need to find middle ground between using flexible modern AI methods and proven classical methods.
    Develop Optimization and Experiment Design systems, which determine the best prices to set for each product in each store each week.

    Finding a good balance on the exploration-exploitation tradeoff will be important
    Design and run pricing experiments across hundreds of stores and tens of thousands of products
    Create model validation methods to make sure that our models are accurate and to quantify the impact of our solutions on the clients’ bottom line

  • You will collaborate with the team to prioritize new feature development by assessing potential impact
  • What’s in it for You

  • You will experience the excitement of working at and growing with an expanding venture-backed SaaS startup where you can make a huge difference

  • You will be part of an exceptionally talented team that retains a significant focus on personal and professional development

  • You will be part of a significant period of growth for the business
  • Location


    Remote US


    Eversight Culture, Benefits, and Perks


    At Eversight, we’ve pivoted our benefits offerings to support the current remote work environment in addition to our standard core offerings.

    We provide:

  • Competitive pay and equity

  • Medical, dental, vision, and 401k

  • Unlimited vacation policy

  • Reimbursement for professional development

  • Flexible parental leave

  • Remote office expense reimbursement

  • Lifestyle Spending Account to support your physical, mental, and emotional wellness

  • Commitment to community service through multiple service events per year (we’ve taken this virtual for now!)

  • Employee milestone service award program

  • Required Skill Profession

    Computer Occupations



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your Machine Learning Potential: Insight & Career Growth Guide


    • Real-time Machine Learning Jobs Trends in Milpitas, United States (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Milpitas, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11113 jobs in United States and 6 jobs in Milpitas. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Machine Learning Engineer Job?

      Great news! is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Redfish Technology adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying United States laws and regulations
    • What Is the Average Salary Range for Machine Learning Engineer Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Milpitas. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for Machine Learning Engineer?

      Key qualifications for Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for Machine Learning Engineer?

      To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for Machine Learning Engineer Job Success
      Redfish Technology interview tips for Machine Learning Engineer

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Redfish Technology's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your Machine Learning Engineer interview at Redfish Technology, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Redfish Technology's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for Machine Learning Engineer Positions

      Setting up job alerts for Machine Learning Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!