Microsoft · 1 day ago
Member of Technical Staff - Machine Learning Engineer
Mountain View, CA
Full-time
Onsite
Mid, Senior Level
$120K/yr - $235K/yr
4+ years expMicrosoft is a leading technology company focused on pushing the boundaries of AI. They are seeking a Machine Learning Engineer to join their Growth team, where the primary responsibilities include developing and deploying machine learning models, optimizing user engagement, and leveraging large language models to create intelligent solutions.
Application Performance ManagementArtificial Intelligence (AI)Business DevelopmentData ManagementDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning
Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking
Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms
Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics
Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers
Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings
Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership
Embody our Culture and Values
Qualification
Required
Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Preferred
3+ years of experience building and deploying ML models in production environments
Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow)
Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS)
Experience with classification, recommendation, or personalization systems
Experience using large language models (LLMs) for machine learning and AI applications
Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Expertise in personalization strategies and user behavior modeling
Strong problem-solving skills and the ability to independently design solutions to complex challenges
Excellent communication skills, with the ability to influence technical and non-technical audiences
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-03
Business Standard India
2026-01-03
Company data provided by crunchbase