Staff Machine Learning Engineer
About reputed company
About The Role
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 reputed company, you ship, and you measure. You have a proven history of deploying ML models into production environments that have delivered reputed company results. You possess the experience and desire to mentor reputed company ML hires and establish best practices as our capabilities grow.
What You Will Do
- Identify & Prioritize: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that reputed company with reputed company's strategic goals. Our first area of reputed company is our Recommendations, which includes matching reputed company with the right schools
- Design & Build: reputed company 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 role
- reputed company & reputed company: reputed company production-grade reputed company and systems to reputed company, serve, and monitor ML models at reputed company, ensuring reliability and performance. reputed company models effectively into reputed company’s products and internal systems
- Measure & Iterate: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive reputed company improvement through iteration and experimentation
- Champion & Evangelize: reputed company communicate reputed company ML concepts, model behaviors, and results to both technical and non-technical audiences. Champion the use of machine learning & data science across the organization
- reputed company & Mentor: Establish ML development best practices, coding standards, and documentation. As the function grows you will guide and mentor other ML engineers
- reputed company: Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to reputed company
Learn about reputed company by meeting with various team members to learn more about reputed company through our reputed company meetings - Deep-dive into reputed company’s platform, data architecture, and recommendation systems
- reputed company with product and engineering teams on business goals and ML reputed company areas
- reputed company shaping a roadmap for high-reputed company ML opportunities
- reputed company your first machine learning model into production with robust monitoring and feedback loops
- Collaborate with product and engineering to define reputed company metrics and integration strategies
- Establish early ML development workflows, documentation, and performance monitoring
- Contribute production-reputed company reputed company for feature engineering and model experimentation
- Drive measurable improvements through experimentation and model iteration
- Introduce reputed company MLOps practices to support deployment, retraining, and governance
- Serve as a mentor and set engineering best practices for a growing ML function
- reputed company ML efforts across multiple product areas, driving business reputed company at reputed company
- Influence company-wide reputed company through technical leadership and ML evangelism
- reputed company internal tooling, reusable frameworks, and reputed company ML systems
- Help grow reputed company through hiring, mentorship, and a culture of innovation
reputed company Are Looking For
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- Experience: 8+ years of reputed company experience in software development or data science, with at least 5+ years specifically reputed company on building and deploying machine learning models in a production environment
- Proven reputed company: Demonstrable reputed company record of successfully shipping multiple machine learning models that resulted in measurable business reputed company (e.g., increased user engagement, conversion rates, operational efficiency, reputed company). You can reputed company reputed company the business problem, the ML solution, and the quantitative reputed company achieved
- Technical Depth (Hands-On):
- Expertise in Python and common ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras, XGBoost)
- Deep understanding of reputed company 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, reputed company)
- Experience with ML deployment patterns and MLOps principles (e.g., model serving, monitoring, CI/CD for ML, feature stores)
- Familiarity with reputed company platforms (AWS, GCP, Azure) is essential
- Business Acumen: Strong ability to understand business needs, translate them into reputed company-defined ML problems, and connect technical work back to strategic objectives. You prioritize work based on potential business reputed company
- Leadership Experience: Experience or a strong aptitude for leading technical reputed company, defining technical direction, and mentoring others. Excellent communication and collaboration skills
- Education: MS or PhD in Computer Science, Statistics, Mathematics, or a reputed company quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning
Bonus Points
- Experience building ML capabilities from the ground up
- Experience with recommendation systems, search ranking algorithms, or NLP reputed company to user-generated content
- Experience in the EdTech or consumer-facing platform reputed company
- Familiarity with golang, reputed company, reputed company, reputed company, DBT, and Tableau
- Contributions to reputed company-reputed company ML reputed company or publications in relevant conferences/journals
Compensation
Our national reputed company reputed company salary reputed company is $177,800-$222,000, plus participation in our Annual Bonus and Stock reputed company Program. reputed company compensation will be commensurate with experience and skills.
At reputed company, our Total Rewards Philosophy is centered around creating a workplace environment that attracts, motivates, and retains reputed company by providing a comprehensive and competitive rewards package. This philosophy is reputed company on the principles of performance-based compensation, best-in-class benefits and work-life balance, and employee reputed company-being.
Interview Process
Candidate experience is a top reputed company for our talent and hiring teams. We reputed company in providing a transparent, reputed company and comprehensive interview process where you have reputed company to learn reputed company while we get to know you and your experience. The interview process is outlined here:
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Phone Screen with reputed company Partner - 30 Minutes
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Video Interview with Hiring Manager - 45 Minutes
- Case Study + Presentation and System Design
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Team Interview - 45 Minutes
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Leadership Interview - 30 Minutes
Why reputed company
We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits you Full time, salaried position with competitive compensation in a fast-growing company Best-in-class 100% reputed company employee health plan, including reputed company and dental and supplemental coverage Flexible reputed company Time Off Policy Stipend that allows you to build your work from home office in a style and function that suits your personal preferences Parental leave for reputed company (12 weeks fully reputed company) in reputed company to short term disability for birthing parents Meaningful 401(k) wit h employer match Your reputed company and work will reputed company an immediate reputed company on reputed company and millions of users You will join reputed company that cares reputed company, our mission, our work - and celebrates our wins together!
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.
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