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

Senior Machine Learning Engineer Job Opening In Pasadena – Now Hiring Spokeo


Job description

Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud.

Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.



About Spokeo:

Join our mission to make the world more transparent with data.

Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud.

Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.

Founded in 2006, we have grown to a company of nearly 200 dedicated employees, with flexible work locations and an average tenure of 5.3 years.

Find out why we were named a “Best Company” by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang.

About this Opportunity

We are seeking a highly skilled Senior Machine Learning Engineer to join our dynamic AI team.

This role will design, develop, and deploy scalable machine learning models that power our cutting-edge products.

It will work closely with data scientists, software engineers, and product teams to translate business needs into high-impact AI solutions.

Initially, this role will focus on transitioning our entity resolution system from a rule-based approach to a robust, ML-driven pipeline.

Work will include tasks such as developing pairwise matching models, feature engineering for identity signals, and setting up training and inference workflows at scale.

For later phases, the role may also take ownership of building models for selecting the most accurate or canonical attributes for a given individual.

What You’ll Do:


  • Develop, deploy, and maintain end-to-end machine learning pipelines.

  • Design, develop, and optimize machine learning models, including data preparation, feature engineering, model training, evaluation, and updates.

  • Collaborate cross-functionally with other software engineers, data scientists, and product managers to productionize and manage ML models.

  • Stay current with the latest state-of-the-art research and advancements in AI and machine learning (ML).

    Apply innovative techniques as needed.



  • Ensure robustness, scalability, and security of deployed machine learning systems.

Who You Are:


  • Have at least a completed Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or Materials Science.

    Those with more advanced degrees in the mentioned fields are welcome.

  • At least 7 years of professional experience in machine learning and data science.

  • Solid foundation in machine learning algorithms.

  • Extensive experience with Python and ML frameworks (e.g., Scikit-learn, XGBoost, SparkML, PyTorch, TensorFlow).

  • Experience building end-to-end ML pipelines on cloud platforms (AWS, GCP, Azure), including feature engineering, training, validation, evaluation, and deployment.

  • Familiarity with entity resolution or record linkage problems in real-world settings.

Working at Spokeo

Spokeo offers a bonus program, equity plans, and 401K.

Once a year, we do a discretionary, merit-based salary increase.

Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.

Spokeo extends written offers to candidates who successfully complete their selection process.

Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits.

A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.

Privacy Notice for Candidates:

Spokeo is an equal-opportunity employer.

Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.

#LI-Remote

Required Skill Profession

Computer Occupations


  • Job Details

Related Jobs

Red Hat, Inc. hiring Senior Machine Learning Engineer Job in Boston, Massachusetts, United States
Red Hat, Inc.
Boston, Massachusetts, United States
Xometry hiring Senior Machine Learning Engineer Job in remote, us, remote, us, United States
Xometry
remote, us, remote, us, United States
Disney Entertainment and ESPN Product & Technology hiring Senior Machine Learning Engineer Job in Los Angeles, California, United States
Disney Entertainment and ESPN Product & Technology
Los Angeles, California, United States
PayPal hiring Senior Machine Learning Engineer Job in San Jose, California, United States
PayPal
San Jose, California, United States
Clear Capital hiring Senior Machine Learning Engineer Job in United States
Clear Capital
United States
Exact Sciences hiring Senior Machine Learning Engineer Job in Madison, Wisconsin, United States
Exact Sciences
Madison, Wisconsin, United States
SailPoint hiring Senior Machine Learning Engineer Job in United States
SailPoint
United States
Conviva hiring Senior Machine Learning Engineer Job in Foster City, California, United States
Conviva
Foster City, California, United States
Apex Systems hiring Senior Machine Learning Engineer Job in Falls Church, Virginia, United States
Apex Systems
Falls Church, Virginia, United States
wallethub hiring Senior Machine Learning Engineer Job in Washington, District of Columbia, United States
wallethub
Washington, District of Columbia, United States
GXO Logistics, Inc. hiring Senior Engineer, Machine Learning Job in United States
GXO Logistics, Inc.
United States
Chewy hiring Senior Machine Learning Engineer Job in Bellevue, WA, United States
Chewy
Bellevue, WA, United States
Chewy hiring Senior Machine Learning Engineer Job in Bellevue, WA, United States
Chewy
Bellevue, WA, United States
CoStar Realty Information, Inc. hiring Senior Machine Learning Engineer Job in San Diego, CA, United States
CoStar Realty Information, Inc.
San Diego, CA, United States
CVS Health hiring Senior Machine Learning Engineer Job in Woonsocket, RI, United States
CVS Health
Woonsocket, RI, United States
CVS Health hiring Senior Machine Learning Engineer Job in Dover, DE, United States
CVS Health
Dover, DE, United States
CVS Health hiring Senior Machine Learning Engineer Job in Springfield, IL, United States
CVS Health
Springfield, IL, United States
CVS Health hiring Senior Machine Learning Engineer Job in Phoenix, AZ, United States
CVS Health
Phoenix, AZ, United States
CVS Health hiring Senior Machine Learning Engineer Job in Boise, ID, United States
CVS Health
Boise, ID, United States
CVS Health hiring Senior Machine Learning Engineer Job in Madison, WI, United States
CVS Health
Madison, WI, United States
CVS Health hiring Senior Machine Learning Engineer Job in Pierre, SD, United States
CVS Health
Pierre, SD, United States
CVS Health hiring Senior Machine Learning Engineer Job in Boston, MA, United States
CVS Health
Boston, MA, United States
CVS Health hiring Senior Machine Learning Engineer Job in Madison, WI, United States
CVS Health
Madison, WI, United States
CVS Health hiring Senior Machine Learning Engineer Job in Pierre, SD, United States
CVS Health
Pierre, SD, United States
CVS Health hiring Senior Machine Learning Engineer Job in Little Rock, AR, United States
CVS Health
Little Rock, AR, United States
CVS Health hiring Senior Machine Learning Engineer Job in Austin, TX, United States
CVS Health
Austin, TX, United States
CVS Health hiring Senior Machine Learning Engineer Job in Harrisburg, PA, United States
CVS Health
Harrisburg, PA, United States
CVS Health hiring Senior Machine Learning Engineer Job in Work at Home 98507, WA, United States
CVS Health
Work at Home 98507, WA, United States

Unlock Your Senior Machine Potential: Insight & Career Growth Guide


Real-time Senior Machine Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Machine in Pasadena, United States, highlighting market share and opportunities for professionals in Senior Machine roles.

192148 Jobs in United States
192148
143 Jobs in Pasadena
143
Download Senior Machine Jobs Trends in Pasadena and United States

Are You Looking for Senior Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Senior 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 Spokeo 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 Senior Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pasadena. 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 Senior Machine Learning Engineer?

Key qualifications for Senior 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.

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

To improve your chances of getting hired for Senior 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 Senior Machine Learning Engineer Job Success

Spokeo interview tips for Senior Machine Learning Engineer

Here are some tips to help you prepare for and ace your Senior Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Spokeo'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 Senior Machine Learning Engineer interview at Spokeo, 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 Spokeo'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 Senior Machine Learning Engineer Positions

Setting up job alerts for Senior 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!