‹ Back
Staff Machine Learning Engineer
JOB SUMMARY
Roles
Job details
About NicheNiche is the leader in school search.
Our mission
is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them.
We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day.
We want Niche to be a place where people truly enjoy working and can thrive professionally. About The RoleWe are looking for our first Staff Machine Learning Engineer to establish and lead our machine learning initiatives.
This is a critical, foundational role where you will have the unique opportunity to shape the future of data science and ML at Niche.
You will be responsible for identifying high-impact opportunities, designing, building, and deploying machine learning models that directly drive business growth and enhance user experience across our platform.
We are looking for a highly skilled, hands-on practitioner who is passionate about translating business challenges into data-driven solutions.
You aren't just theoretical; you build, you code, you ship, and you measure.
You have a proven history of deploying ML models into production environments that have delivered tangible results.
You possess the experience and desire to mentor future ML hires and establish best practices
as our
capabilities grow.
What You Will DoIdentify Prioritize: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that align with Niche's strategic goals.
Our first area of focus is our Recommendations, which includes matching students with the right schoolsDesign Build: Lead the end-to-end development of machine learning models – from data collection and feature engineering to algorithm selection, training, tuning, and validation.
This is a hands-on coding roleDeploy Integrate: Develop production-grade code and systems to deploy, serve, and monitor ML models at scale, ensuring reliability and performance.
Integrate models effectively into Niche’s products and internal systemsMeasure Iterate: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentationChampion Evangelize: Clearly communicate complex ML concepts, model behaviors, and results to both technical and non-technical audiences. Champion the use of machine learning data science across the organizationLead Mentor: Establish ML development best practices, coding standards, and documentation.
As the function grows you will guide and mentor other ML engineersInnovate: Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to NicheDuring the First Month:Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetingsDeep-dive into Niche’s platform, data architecture, and recommendation systemsAlign with product and engineering teams on business goals and ML impact areasBegin shaping a roadmap for high-impact ML opportunitiesWithin 3 Months:Deploy your first machine learning model into production with robust monitoring and feedback loopsCollaborate with product and engineering to define success metrics and integration strategiesEstablish early ML development workflows, documentation, and performance monitoringContribute production-ready code for feature engineering and model experimentationWithin 6 Months:Drive measurable improvements through experimentation and model iterationIntroduce scalable MLOps practices to support deployment, retraining, and governanceServe as a mentor and set engineering best practices for a growing ML functionWithin 12 Months:Lead ML efforts across multiple product areas, driving business impact at scaleInfluence company-wide strategy through technical leadership and ML evangelismDevelop internal tooling, reusable frameworks, and scalable ML systemsHelp grow the team through hiring, mentorship, and a culture of innovationWhat We Are Looking ForExperience: 8+ years of professional experience in software development or data science, with at least 5+ years specifically focused on building and deploying machine learning models in a production environmentProven Impact: Demonstrable track record of successfully shipping multiple machine learning models that resulted in measurable business growth (e. g. , increased user engagement, conversion rates, operational efficiency, revenue).
You can clearly articulate the business problem, the ML solution, and the quantitative impact achieved
Technical
Depth (Hands-On):Expertise in Python and common ML libraries/frameworks (e. g. , scikit-learn, TensorFlow, PyTorch, Keras, XGBoost)Deep understanding of core ML concepts (e. g. , classification, regression, clustering, recommendation systems, NLP, time series analysis, experimentation, model evaluation)Strong SQL skills and experience working with large datasets and data processing tools (e. g. , Pandas, Spark)Experience with ML deployment patterns and MLOps principles (e. g. , model serving, monitoring, CI/CD for ML, feature stores)Familiarity with cloud platforms (AWS, GCP, Azure) is essentialBusiness Acumen: Strong ability to understand business needs, translate them into well-defined ML problems, and connect technical work back to strategic objectives.
You prioritize work based on potential business impact
Leadership
Experience: Experience or a strong aptitude for leading technical projects, defining technical direction, and mentoring others. Excellent communication and collaboration skillsEducation: MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning
Bonus Points
Experience building ML capabilities from the ground upExperience with recommendation systems, search ranking algorithms, or NLP applied to user-generated contentExperience in the EdTech or consumer-facing platform spaceFamiliarity with golang, express, Postgres, Snowflake, DBT, and TableauContributions to open-source ML projects or publications in relevant conferences/journalsCompensation Our national target base
salary range
is $177,800-$222,000, plus participation in our Annual Bonus and Stock Option Program. Base compensation will be commensurate with experience and skills. At Niche, our Total Rewards Philosophy is centered around creating a workplace environment that attracts, motivates, and retains top talent by providing a comprehensive and competitive rewards package.
This philosophy is built on the principles of performance-based compensation, best-in-class
benefits
and work-life balance, and employee well-being.
Interview ProcessCandidate experience is a top priority for our talent and hiring teams.
We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn
about us
while we get to know you and your experience.
The interview process is outlined here:Phone Screen with Talent Acquisition Partner - 30 MinutesVideo Interview with Hiring Manager - 45 MinutesCase Study + Presentation and System DesignTeam Interview - 45 Minutes
Leadership
Interview - 30 MinutesWhyNiche.
We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits youFull time, salaried position with competitive compensation in a fast-growing companyBest-in-class 100% paid employee health plan, including vision and dental and supplemental coverageFlexible Paid Time Off PolicyStipend that allows you to build your work from home office in a style and function that suits your personal preferencesParental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parentsMeaningful 401(k) with employer matchYour ideas and work will make an immediate impact on our company and millions of usersYou will join a team that cares about you,
our mission
, our work - and celebrates our wins together. Niche will only employ those who are legally authorized to work in the United States without sponsorship now or in the future for this opening.
We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV. Candidates only. No recruiters or agencies, please. Sorry, we do not offer re
location
assistance. Niche is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.
Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. All interviews are being held remotely.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
Our mission
is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them.
We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day.
We want Niche to be a place where people truly enjoy working and can thrive professionally. About The RoleWe are looking for our first Staff Machine Learning Engineer to establish and lead our machine learning initiatives.
This is a critical, foundational role where you will have the unique opportunity to shape the future of data science and ML at Niche.
You will be responsible for identifying high-impact opportunities, designing, building, and deploying machine learning models that directly drive business growth and enhance user experience across our platform.
We are looking for a highly skilled, hands-on practitioner who is passionate about translating business challenges into data-driven solutions.
You aren't just theoretical; you build, you code, you ship, and you measure.
You have a proven history of deploying ML models into production environments that have delivered tangible results.
You possess the experience and desire to mentor future ML hires and establish best practices
as our
capabilities grow.
What You Will DoIdentify Prioritize: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that align with Niche's strategic goals.
Our first area of focus is our Recommendations, which includes matching students with the right schoolsDesign Build: Lead the end-to-end development of machine learning models – from data collection and feature engineering to algorithm selection, training, tuning, and validation.
This is a hands-on coding roleDeploy Integrate: Develop production-grade code and systems to deploy, serve, and monitor ML models at scale, ensuring reliability and performance.
Integrate models effectively into Niche’s products and internal systemsMeasure Iterate: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentationChampion Evangelize: Clearly communicate complex ML concepts, model behaviors, and results to both technical and non-technical audiences. Champion the use of machine learning data science across the organizationLead Mentor: Establish ML development best practices, coding standards, and documentation.
As the function grows you will guide and mentor other ML engineersInnovate: Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to NicheDuring the First Month:Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetingsDeep-dive into Niche’s platform, data architecture, and recommendation systemsAlign with product and engineering teams on business goals and ML impact areasBegin shaping a roadmap for high-impact ML opportunitiesWithin 3 Months:Deploy your first machine learning model into production with robust monitoring and feedback loopsCollaborate with product and engineering to define success metrics and integration strategiesEstablish early ML development workflows, documentation, and performance monitoringContribute production-ready code for feature engineering and model experimentationWithin 6 Months:Drive measurable improvements through experimentation and model iterationIntroduce scalable MLOps practices to support deployment, retraining, and governanceServe as a mentor and set engineering best practices for a growing ML functionWithin 12 Months:Lead ML efforts across multiple product areas, driving business impact at scaleInfluence company-wide strategy through technical leadership and ML evangelismDevelop internal tooling, reusable frameworks, and scalable ML systemsHelp grow the team through hiring, mentorship, and a culture of innovationWhat We Are Looking ForExperience: 8+ years of professional experience in software development or data science, with at least 5+ years specifically focused on building and deploying machine learning models in a production environmentProven Impact: Demonstrable track record of successfully shipping multiple machine learning models that resulted in measurable business growth (e. g. , increased user engagement, conversion rates, operational efficiency, revenue).
You can clearly articulate the business problem, the ML solution, and the quantitative impact achieved
Technical
Depth (Hands-On):Expertise in Python and common ML libraries/frameworks (e. g. , scikit-learn, TensorFlow, PyTorch, Keras, XGBoost)Deep understanding of core ML concepts (e. g. , classification, regression, clustering, recommendation systems, NLP, time series analysis, experimentation, model evaluation)Strong SQL skills and experience working with large datasets and data processing tools (e. g. , Pandas, Spark)Experience with ML deployment patterns and MLOps principles (e. g. , model serving, monitoring, CI/CD for ML, feature stores)Familiarity with cloud platforms (AWS, GCP, Azure) is essentialBusiness Acumen: Strong ability to understand business needs, translate them into well-defined ML problems, and connect technical work back to strategic objectives.
You prioritize work based on potential business impact
Leadership
Experience: Experience or a strong aptitude for leading technical projects, defining technical direction, and mentoring others. Excellent communication and collaboration skillsEducation: MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning
Bonus Points
Experience building ML capabilities from the ground upExperience with recommendation systems, search ranking algorithms, or NLP applied to user-generated contentExperience in the EdTech or consumer-facing platform spaceFamiliarity with golang, express, Postgres, Snowflake, DBT, and TableauContributions to open-source ML projects or publications in relevant conferences/journalsCompensation Our national target base
salary range
is $177,800-$222,000, plus participation in our Annual Bonus and Stock Option Program. Base compensation will be commensurate with experience and skills. At Niche, our Total Rewards Philosophy is centered around creating a workplace environment that attracts, motivates, and retains top talent by providing a comprehensive and competitive rewards package.
This philosophy is built on the principles of performance-based compensation, best-in-class
benefits
and work-life balance, and employee well-being.
Interview ProcessCandidate experience is a top priority for our talent and hiring teams.
We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn
about us
while we get to know you and your experience.
The interview process is outlined here:Phone Screen with Talent Acquisition Partner - 30 MinutesVideo Interview with Hiring Manager - 45 MinutesCase Study + Presentation and System DesignTeam Interview - 45 Minutes
Leadership
Interview - 30 MinutesWhyNiche.
We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits youFull time, salaried position with competitive compensation in a fast-growing companyBest-in-class 100% paid employee health plan, including vision and dental and supplemental coverageFlexible Paid Time Off PolicyStipend that allows you to build your work from home office in a style and function that suits your personal preferencesParental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parentsMeaningful 401(k) with employer matchYour ideas and work will make an immediate impact on our company and millions of usersYou will join a team that cares about you,
our mission
, our work - and celebrates our wins together. Niche will only employ those who are legally authorized to work in the United States without sponsorship now or in the future for this opening.
We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV. Candidates only. No recruiters or agencies, please. Sorry, we do not offer re
location
assistance. Niche is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.
Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. All interviews are being held remotely.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
Discover the company
Explore other offers from this company or learn more about Niche.
The company
N
Niche Remote
