Working at the intersection of hardware, controls, and propulsion, you’ll solve complex engineering challenges, bring bold ideas to life, and play a direct role in getting cutting-edge aircraft into the air.

Responsibilities:

• Design complex electro-mechanical mechanisms for autonomous aircraft
• Own the full design process: concept, CAD, tolerance analysis, material selection, and drawing release
• Perform structural and kinematic calculations and preliminary FEA
• Prototype, test, and iterate mechanism designs for functionality and reliability
• Collaborate with electrical, avionics, flight controls, and propulsion teams
• Mentor junior engineers and promote engineering excellence
• Support pre-production builds, prototype integration, and ground/flight testing

Required qualifications:

• B.S. in Mechanical/Aerospace Engineering
• 8+ years in mechanical or mechanism design
• Strong CAD skills (NX preferred)
• Kinematic analysis and optimization
• Structural analysis utilizing hand calculations and finite element methods
• FEA analysis: Modal, non-linear and linear, buckling, fatigue
• GD&T and tolerance stack-ups for mechanical systems
• Materials selection inclusive of alloys, heat treatments, allowables, and finishes
• Ability to work independently and lead in fast-paced, cross-functional teams
• A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others

Preferred qualifications:

• Experience with UAVs, aircraft, or robotic systems
• Familiarity with electro-mechanical actuators
• Proficiency in FMEA, DOE, and root cause analysis
• Hands-on machine shop or mechanic experience (professional or hobby)
• RTCA DO-160, structural, or actuated mechanism testing experience
• Ability to thrive in startup, R&D, or defense innovation environments

$160,000 - $240,000 a year

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Microsoft are looking for a talented Applied Scientist II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research).

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft are looking for a talented Applied Scientist II at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising search results page advertising technology. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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