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


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


    • Job Details

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    Unlock Your Machine Learning Potential: Insight & Career Growth Guide


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    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.

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    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. Impartiapty

    4. Integrity

    5. Accountabipty

    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. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    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 Machine Learning Engineer 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.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    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!

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