This position focuses on leading and supporting the engineering development for our BlueCruise features. As a seasoned professional, you will contribute to our efforts with experience in the development of sensors, ECUs, models, and software.

Responsibilities

• Develop and mature system and subsystem level design, interfaces, and specifications to ensure production feature delivery across the entire range of Ford Motor Company vehicle offerings, across the globe.
• Lead the development and refinement of In-Vehicle Software and their respective Implementation Requirements for the BlueCruise feature set.
• Support development and refinement of use cases and functional level requirements & targets for our next-generation BlueCruise features.
• Contribute towards upgrades and enhancements to our BlueCruise features, by working closely with feature owners with modeling changes, regression testing, test vector support, data review, issue identification and supplier interaction.
• Support replay and bench testing of algorithms to assess & improve performance of BlueCruise features, while conducting failure mode avoidance assessments.
• Support feature model delivery to meet software delivery & program timing.
• Support development and refinement of functional safety requirements, item definition, hazard analysis & risk assessment, and functional safety concept in compliance with ISO-26262 / Ford Functional Safety process for BlueCruise features.
• Ensure system design, functional safety, and other deliverables allow for seamless integration with existing features and provide a thrilling user experience.
• Manage feature / functional development timing by suppliers.
• Support the development and refinement of design validation methods for ensuring proper feature-level performance across a variety of environmental and cross-carline noise factors.
• Support sign-off of feature level performance, particularly first vehicle line application.
• Support the development of data analysis techniques and methods from data generated by both track and real-world validation methods to ensure feature achieves the desired specifications.
• Closely coordinate with product, business and other engineering teams to develop new capabilities on top of the existing set of BlueCruise features.
• Support the planning and execution of real-world evaluations to identify system problems and issues.
• Utilize AI tools and Agents for evaluation, developments and design process, while checking the results from an AI Tool.

Qualifications

• Bachelor’s Degree in Electrical, Computer, or Software Engineering, or related field
• 2+ year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.

Even better, you may have:

• Master’s degree in Electrical, Mechanical, Aerospace, Controls, Computer, or Software Engineering.
• 4+ year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.
• Experience with ANY of the following areas: Adaptive Cruise Control, Blind Spot Systems, Lane Keeping, Lane Centering Systems or similar ADAS features.
• Experience with computer vision & radar tracking of humans, vehicles, static roadway obstacles or other typical road objects.
• Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts.
• Understanding of embedded hardware and software design.
• Experience reviewing, categorizing, and analyzing field data to determine error states / failure modes.
• Experience developing, conducting, observing, and reporting on statistically relevant experimentation / verification methods across the global population.
• Experience with model-based design methods in Simulink for creation/development and enhancement of current / new features.
• Understanding of Kalman filtering, vehicle dynamics, linear & nonlinear control methods.
• Software engineering & algorithm development experience in any language (C, C++, Python, MATLAB, etc.)
• Developing and conducting laboratory and vehicle tests, data collection, and analysis.
• Prior use of ML model or tools and ability to utilize AI/ML tools in development cycles.
• Ability to lead a small project and demonstrate ownership and showing initiatives to improve existing processes.

If you think you can bring value to Ford Motor Company, we encourage you to apply!

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

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Our team is extremely product-focused and works in partnership with Product and Design functions of teams we support. We have a dedicated ML product engineer who enables us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

Your responsibilities will include identifying areas where ML can create value for our customers, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring & socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.

We are looking for someone with broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge, intermediate programming skills, strong communication skills, comfort with ambiguity, and typically have advanced education in ML or related field.

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This role requires a minimum of 7 years of related experience with a Bachelor's degree, or 3 years and a Master's degree, or a PhD with 2 year experience, or equivalent experience. You should have a proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.

Preferred qualifications include familiarity with continuous integration / delivery and test-driven development, and experience working with robotics and/or control systems, specifically unmanned aerial systems.

The salary for this role is $180,000 - $280,000 a year, with a bonus, benefits, and equity included in the offer package.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to obtain a SECRET clearance

Preferences:

• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks
• Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms

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Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their Zürich 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

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their Zürich 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

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their London 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

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Experience and/or in-depth understandings about large-scale distributed systems
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their London 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

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their London 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

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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What you'll do

• Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• Design and architect computer vision systems to meet specific requirements and objectives.

What you need

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
• Proven experience in developing and implementing computer vision algorithms and models.
• Proficiency in programming languages such as Python or C++.
• Strong understanding of image and video processing techniques and methodologies.
• Familiarity with computer vision libraries such as OpenCV.
• Experience with data collection, annotation, and preparation for model training.
• Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
• Experience integrating computer vision solutions into software systems or products.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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