Computer Vision Algorithm Engineer focused on ADAS perception, developing and optimizing image processing and deep learning models for automotive embedded systems.
Responsibilities
Design, implement, and optimize conventional image processing algorithms for automotive embedded serial production projects
Develop and tune deep learning models for ADAS computer vision features, including pruning and quantization
Plan and execute experiments to assess deep learning model effectiveness and validate results
Analyze large datasets to extract insights and improve model performance
Collaborate with multidisciplinary teams to integrate models into existing systems
Requirements
Master’s degree in computer engineering, Software Engineering, Electrical Engineering, Computer Science, or equivalent
Nice to have: experience in serial development of automotive electronics
Sr. Software Development Engineer to Research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations.
Responsibilities
Research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations
Design, develop, troubleshoot and debug software programs for enhancements and new products
Develop software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and internet-related tools
Requirements
Master’s degree or foreign equivalent in Computer Science
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Develop frontier AI methods for biomedical research
Design and execute rigorous experiments
Set the evaluation standard at scale
Translate models into scientific evidence
Build shared foundation
Requirements
PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology or related quantitative field
Master's degree with 2+ years of relevant industry or research experience
Nice to have: Experience applying AI in life sciences, biotechnology, healthcare, pharmaceuticals, or biomedical research
Nice to have: Experience with biological, molecular, imaging, clinical, or real-world health data
Nice to have: Experience building foundation models or multimodal learning systems for scientific applications
Lead advanced AI research to accelerate drug discovery and development at Pfizer.
Compensation
The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Develop frontier AI methods for biomedical research
Design and execute rigorous experiments
Set evaluation standards at scale
Translate models into scientific evidence
Build shared foundations
Requirements
PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology or related field
Master's degree with 5+ years of relevant industry or research experience
Nice to have: Experience applying AI in life sciences, biotechnology, healthcare, pharmaceuticals, or biomedical research
Nice to have: Experience with biological, molecular, imaging, clinical, or real-world health data
Nice to have: Experience building foundation models or multimodal learning systems for scientific applications
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Develop frontier AI methods for biomedical research
Design and execute rigorous experiments
Set the evaluation standard at scale
Translate models into scientific evidence
Build the shared foundation
Requirements
PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology or related quantitative field
Master's degree with 2+ years of relevant industry or research experience
Nice to have: Experience applying AI in life sciences, biotechnology, healthcare, pharmaceuticals, or biomedical research
Nice to have: Experience with biological, molecular, imaging, clinical, or real-world health data
Nice to have: Experience building foundation models or multimodal learning systems for scientific applications
Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs.
Compensation
The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs
Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems
Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring
Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use
Improve the performance and scalability of computationally intensive research and production workloads
Requirements
Bachelor's degree in computer science, computer engineering, or another technical field
Master's degree in computer science, computer engineering, or another technical field
PhD degree in computer science, computer engineering, or another technical field
Lead customer-facing technical engagements, partnering with C-level executives, research leads, and engineering teams to define AI infrastructure strategy and optimize price-per-flop performance.
Guide customers through complex system architecture designs, including workload sizing, mixed-compute deployments, and performance trade-offs between TPU and GPU clusters.
Partner cross-functionally with Core Infrastructure Engineering, Specialist Sales, and Product Management to resolve technical blockers on tier-one engagements and develop global sales playbooks.
Define requirements across backend operational layers and distributed systems to accelerate adoption of specialized accelerator hardware and large model training/inference stacks.
Represent customer requirements back to product and engineering teams to influence future hardware roadmaps, software tooling, and platform capabilities.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Master’s degree or PhD in Computer Science, Computer Engineering, or a related field
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