‹ Back
Senior Machine Learning Engineer
JOB SUMMARY
Roles
Skills & Technologies
Job details
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
location
s 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 OpportunityWe 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 Spark, 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. Prior experience handling ETL jobs is a plus. Working at SpokeoSpokeo 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: https://www. spokeo. com/recruiting-policySpokeo 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.
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
location
s 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 OpportunityWe 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 Spark, 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. Prior experience handling ETL jobs is a plus. Working at SpokeoSpokeo 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: https://www. spokeo. com/recruiting-policySpokeo 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.
Discover the company
Explore other offers from this company or learn more about Spokeo.
The company
S
Spokeo United States
