Senior Autonomy Engineer - Deep Learning Job at Skydio (Zurich)

Senior Software Engineer, Autonomy - Perception, Deep Learning

We are seeking an experienced Senior Software Engineer to join our Perception te...

Location

United States , Mountain View

Salary:

180000.00 - 198000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

MS/PhD in computer science, computer engineering, robotics, or similar technical field of study
4+ years of experience writing Python software in a production environment - unit testing, code review, algorithm performance trade-offs, etc.
Strong theoretical foundation in deep learning techniques for computer vision, with working knowledge of linear algebra, probability, and optimization
Hands-on experience developing and deploying deep learning models for real-world perception tasks (e.g., detection, segmentation, multi-object tracking)
Proficiency with libraries such as Pytorch, TensorFlow, Numpy, SciPy, OpenCV (Python), etc.
Experience building and integrating tools and infrastructure to optimize model development lifecycle, including but not limited to model versioning, model evaluation, model deployment, etc.
Excellent written & verbal communication skills

Job Responsibility

Design, implement, and optimize deep learning models for object detection, segmentation, and tracking using camera and lidar data
Build and maintain data pipelines, training infrastructure, and inference frameworks to support reproducible and scalable model development
Develop tools and metrics for evaluating model performance and ensuring robustness across diverse warehouse environments
Work with third-party annotation vendors to generate high-quality labeled datasets for training and validation

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Fulltime

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...

Location

United States; Canada

Salary:

189900.00 - 237400.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

6+ years of experience delivering end to end solutions that drive business growth
Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
Strong expertise creating custom embeddings from raw data sources
Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
Strong communication skills with technical and non-technical stakeholders
Background in consumer-facing products preferred
Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership

Job Responsibility

Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Senior Infrastructure Engineer - Postgres

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—addin...

Location

India

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems
Solid understanding of Postgres operations, scaling, and performance tuning
Deep hands-on experience across AWS, with exposure to GCP and Azure
comfortable navigating multi-cloud topologies
Proficient with Terraform, Kubernetes, and container-based infrastructure
Strong Go development skills (or willingness to write and own production Go code)
Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents
Deep understanding of SLOs, incident response, and continuous improvement in service reliability
You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems

Job Responsibility

Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling
Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure
Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments
Contribute Go-based tooling and services that improve automation, observability, and developer experience
Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments
Drive incident management and postmortem practices that strengthen reliability and learning loops
Collaborate cross-functionally with platform, networking, and product teams to improve service operability
Mentor and enable engineers, helping the team scale effectively as customer adoption grows

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Senior Infrastructure Engineer - Postgres

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—addin...

Location

United States

Salary:

140000.00 - 208000.00 USD / Year

ClickHouse

Expiration Date

Until further notice

Requirements

7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems
Solid understanding of Postgres operations, scaling, and performance tuning
Deep hands-on experience across AWS, with exposure to GCP and Azure
comfortable navigating multi-cloud topologies
Proficient with Terraform, Kubernetes, and container-based infrastructure
Strong Go development skills (or willingness to write and own production Go code)
Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents
Deep understanding of SLOs, incident response, and continuous improvement in service reliability
You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems

Job Responsibility

Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling
Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure
Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments
Contribute Go-based tooling and services that improve automation, observability, and developer experience
Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments
Drive incident management and postmortem practices that strengthen reliability and learning loops
Collaborate cross-functionally with platform, networking, and product teams to improve service operability
Mentor and enable engineers, helping the team scale effectively as customer adoption grows

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime