Top Benefits
About the role
⚠️ This role requires hands-on commercial experience with 3D Computer Vision.
We are looking for a Senior ML Research Engineer to join our core team and drive the evolution of a production-grade body reconstruction pipeline.
This role combines applied research, experimentation, and direct product impact in the field of 3D vision and ML.
🔹 About the company
We are a product-driven AI company developing advanced mobile body scanning and 3D visualization technology used by global clients across apparel, retail, and digital health & fitness.
Our team focuses on building high-precision body reconstruction pipelines powered by computer vision, machine learning, and computational geometry.
🔹 Requirements
- 5+ years of hands-on experience delivering CV/ML projects from concept through production.
- Strong expertise in 3D computer vision and computational geometry.
- Strong understanding of the mathematical foundations of ML and numerical optimization.
- Experience with data structures, data modeling, and software architecture for ML systems.
- Experience designing validation/evaluation for ML accuracy and reliability (metrics, benchmarks, regression testing).
- Strong programming in Python; experience with PyTorch and/or TensorFlow and common scientific computing packages.
- Strong experimentation discipline: reproducible workflows, clear documentation, and ability to diagnose/fix failures.
- Fluent English (spoken and written) for clear communication in a distributed team.
- Strong communication, collaboration, and adaptability in a fast-moving environment.
🔹 Responsibilities
- Develop and improve our body reconstruction pipeline, adding capabilities and improving accuracy and robustness.
- Architect and maintain a framework to validate predicted measurements, sizes, and 3D avatars (quality checks, benchmarks, monitoring).
- Identify and prioritize projects that measurably improve accuracy and reliability, focusing effort where impact is highest.
- Maintain the integrity of ML pipeline testing, ensure data quality, and prevent regressions.
🔹 What we offer
- Join a high-performing team and ship production AI/3D work with real customer impact.
- 4 weeks (20 working days) of paid vacation annually.
- Paid sick leave: 10 days/year with full coverage.
- Flexible working hours (remote-first).
- Remote working environment.
- Eligibility for the Stock Option Program after 6 months (based on performance/impact).
We are looking for a hands-on engineer with deep expertise in researching and developing machine learning algorithms, rather than primarily applying existing models.
This role is best suited for candidates with a strong research background or significant hands-on experience solving complex problems in 3D Computer Vision.
We value a strong understanding of how machine learning models are designed, trained, and optimized from the ground up. Experience limited to integrating or deploying off-the-shelf solutions will not be sufficient for this position.
Candidates whose recent work has primarily focused on backend infrastructure (e.g., Docker, Kubernetes, FastAPI, LLM integrations, or general API development) may find that this role is not the best match.
About 3DLOOK
3DLOOK turns two smartphone photos into precise human geometry so health progress can be measured over time, wearables perform more accurately, and apparel fits by design.
Using patented AI-first computer vision, 3DLOOK creates accurate 3D body models, measurements, and body-composition data in under 30 seconds, without specialized hardware.
The platform enables digital health and fitness teams to move beyond self-reported metrics through remote onboarding, objective progress tracking, and longitudinal monitoring for weight-management and GLP-1 programs. This approach improves accuracy, engagement, and outcomes.
For apparel, 3DLOOK delivers production-ready measurement data for made-to-measure garments, uniforms, and custom programs. Brands achieve consistent results at scale while reducing waste across manufacturing workflows.
3DLOOK supports health and fitness, wearables, and fashion through scalable APIs and SDKs, providing body data that makes personalization and automation practical in real-world products.
If your product interacts with the human body, 3DLOOK helps it perform better and fit better.
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Top Benefits
About the role
⚠️ This role requires hands-on commercial experience with 3D Computer Vision.
We are looking for a Senior ML Research Engineer to join our core team and drive the evolution of a production-grade body reconstruction pipeline.
This role combines applied research, experimentation, and direct product impact in the field of 3D vision and ML.
🔹 About the company
We are a product-driven AI company developing advanced mobile body scanning and 3D visualization technology used by global clients across apparel, retail, and digital health & fitness.
Our team focuses on building high-precision body reconstruction pipelines powered by computer vision, machine learning, and computational geometry.
🔹 Requirements
- 5+ years of hands-on experience delivering CV/ML projects from concept through production.
- Strong expertise in 3D computer vision and computational geometry.
- Strong understanding of the mathematical foundations of ML and numerical optimization.
- Experience with data structures, data modeling, and software architecture for ML systems.
- Experience designing validation/evaluation for ML accuracy and reliability (metrics, benchmarks, regression testing).
- Strong programming in Python; experience with PyTorch and/or TensorFlow and common scientific computing packages.
- Strong experimentation discipline: reproducible workflows, clear documentation, and ability to diagnose/fix failures.
- Fluent English (spoken and written) for clear communication in a distributed team.
- Strong communication, collaboration, and adaptability in a fast-moving environment.
🔹 Responsibilities
- Develop and improve our body reconstruction pipeline, adding capabilities and improving accuracy and robustness.
- Architect and maintain a framework to validate predicted measurements, sizes, and 3D avatars (quality checks, benchmarks, monitoring).
- Identify and prioritize projects that measurably improve accuracy and reliability, focusing effort where impact is highest.
- Maintain the integrity of ML pipeline testing, ensure data quality, and prevent regressions.
🔹 What we offer
- Join a high-performing team and ship production AI/3D work with real customer impact.
- 4 weeks (20 working days) of paid vacation annually.
- Paid sick leave: 10 days/year with full coverage.
- Flexible working hours (remote-first).
- Remote working environment.
- Eligibility for the Stock Option Program after 6 months (based on performance/impact).
We are looking for a hands-on engineer with deep expertise in researching and developing machine learning algorithms, rather than primarily applying existing models.
This role is best suited for candidates with a strong research background or significant hands-on experience solving complex problems in 3D Computer Vision.
We value a strong understanding of how machine learning models are designed, trained, and optimized from the ground up. Experience limited to integrating or deploying off-the-shelf solutions will not be sufficient for this position.
Candidates whose recent work has primarily focused on backend infrastructure (e.g., Docker, Kubernetes, FastAPI, LLM integrations, or general API development) may find that this role is not the best match.
About 3DLOOK
3DLOOK turns two smartphone photos into precise human geometry so health progress can be measured over time, wearables perform more accurately, and apparel fits by design.
Using patented AI-first computer vision, 3DLOOK creates accurate 3D body models, measurements, and body-composition data in under 30 seconds, without specialized hardware.
The platform enables digital health and fitness teams to move beyond self-reported metrics through remote onboarding, objective progress tracking, and longitudinal monitoring for weight-management and GLP-1 programs. This approach improves accuracy, engagement, and outcomes.
For apparel, 3DLOOK delivers production-ready measurement data for made-to-measure garments, uniforms, and custom programs. Brands achieve consistent results at scale while reducing waste across manufacturing workflows.
3DLOOK supports health and fitness, wearables, and fashion through scalable APIs and SDKs, providing body data that makes personalization and automation practical in real-world products.
If your product interacts with the human body, 3DLOOK helps it perform better and fit better.