Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Research Engineer role.
Rezi rewrites your resume against Snap Inc.'s job description. Free.
Tailor your resume to this Research Engineer role.
Rezi rewrites your resume against Snap Inc.'s job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Research Engineer posting at Snap Inc. — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Research Engineer posting at Snap Inc. — free, in seconds.
About the Role
Join the Spectacles BCI Team at Snap Inc. as a Research Engineer, working on state-of-the-art machine learning for time series data to develop the next generation of wearable device sensing. You will collaborate with global hardware and software teams from our Paris office.
Responsibilities
- Conduct focused, product-related research projects, defining hypotheses and designing experiments using electrophysiological and cognitive data.
- Review relevant literature and translate scientific knowledge into modeling approaches aligned with product needs.
- Build signal-processing and ML pipelines for noisy, real-world time-series sensor data.
- Develop algorithms and ML models for cognitive and physiological decoding using multimodal biological signals captured via wearable devices.
- Collaborate with software and research teams on model development and evaluation, data capture and demos.
- Translate findings into clear recommendations for stakeholders and leadership.
Requirements
- Strong signal-processing fundamentals applied to noisy, real-world biosensor data.
- Proficiency in Python and experience with scientific-computing and ML tools.
- Working knowledge of ML for multivariate time series and multimodal sensor fusion.
- Ability to turn research or product questions into concrete technical plans, experiments, metrics, and deliverables.
- Ability to clearly communicate model limitations, uncertainty, and technical tradeoffs clearly to cross-functional partners.
- Familiarity with AI-assisted engineering workflows.
- Master’s degree in machine learning, computer science, biomedical engineering, computational neuroscience or related fields.
- 3+ years of relevant research or engineering experience developing algorithms or models for time series, biometric, physiological, wearable, behavioral, or multimodal data.
- Hands-on experience with wearable biometrics products or platforms, such as smartwatches, fitness trackers, health trackers, sports-performance wearables, or similar real-world sensing devices.
- PhD in biomedical engineering, computational neuroscience, signal processing with a focus on biosignals or an equivalent record of applied research and engineering impact.
- Experience in electroencephalography, Brain-Computer Interface or cognitive-state estimation.
- Experience designing ML systems for multivariate time series, representation learning, calibration, or domain adaptation.
- Experience with artifact-aware modeling, noisy labels or physiological proxy labels.
- Experience deploying or optimizing ML models for real-life environments
- Experience with agentic AI workflows, skills-based automation, or AI-assisted research.
Skills
- Machine learning
- Time series data
- Signal processing
- Python
- Scientific computing
- ML tools
- Multivariate time series
- Multimodal sensor fusion
- Electrophysiological data
- Cognitive data
- Wearable devices
- Biological signals
- Electroencephalography
- Brain-Computer Interface
- Cognitive-state estimation
- Representation learning
- Calibration
- Domain adaptation
- Artifact-aware modeling
- Noisy labels
- Physiological proxy labels
- Agentic AI workflows
- Skills-based automation
- AI-assisted research
Location
- Paris, France
Work Type
- Hybrid
- Onsite (4+ days per week)
Experience Level
- 3+ years of relevant research or engineering experience
- PhD preferred
Education Level
- Master's degree in machine learning, computer science, biomedical engineering, computational neuroscience or related fields
- PhD preferred
Benefits
- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages that let you share in Snap’s long-term success
About the Company
- Snap Inc. is a technology company focused on improving how people live and communicate through the camera. The company operates Snapchat, Specs Inc. (developing advanced eyewear), Bitmoji, and Saturn.
- Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human, developing Specs eyewear and the Snap OS operating system.
- Specs Inc. provides Lens Studio, a suite of developer tools for augmented reality experiences.
Equal Opportunity
- Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.