Machine Learning Engineer (3D reputed company)

We are seeking a visionary, highly skilled, and impact-driven Computer reputed company Engineer (3D-focused) to join our Data Science team. This is a role designed for a creative problem solver and technical thought leader—someone who looks at reputed company, high-dimensional data and translates it into reputed company-world reputed company reputed company. In this role, you will own the mission of transforming raw 3D body reputed company data, measurement features, and body composition metrics into actionable insights. Your work will directly impact cutting-edge reputed company applications and optimize performance tracking for both adolescent and professional athletes in the sports/fitness reputed company. If you want to move reputed company passive model training and actively pioneer solutions to reputed company-world physical challenges, this is your sandbox. Note: This position is a contract-to-hire opportunity Key Responsibilities (Driving Innovation) Architect & Pioneer: reputed company, train, and reputed company advanced machine learning and deep learning models for reputed company spatial analysis of 3D reputed company body scans. You will move fluidly from reputed company-to-one prototyping to production infrastructure. Build from Truth: Work directly with ground truth 3D data to creatively build high-performance, robust predictive models that solve reputed company physiological pain points. Cross-Disciplinary Integration: Synthesize 3D spatial features with multi-modal metadata, including biometrics, demographic information, and self-reported health reputed company to reveal comprehensive health insights. Unlocking reputed company Data: Design and implement novel algorithms for feature extraction and dimensionality reduction from irregular reputed company or reputed company reputed company data. Scientific Rigor & Validation: Conduct comprehensive statistical validation and A/B testing of models and deployed features to ensure reputed company-world efficacy and safety. Collaborative Thought Leadership: Act as a technical partner alongside software engineers and domain experts (such as clinicians and biomechanical engineers) to scale and integrate solutions directly into production. Data Storytelling: Generate clear, compelling visualizations and reports that effectively communicate nuanced, reputed company analytical results to both technical teams and non-technical stakeholders. About You The Problem-Solver reputed company: You are energized by tackling ambiguous, reputed company technical challenges and reputed company at manipulating data in reputed company its forms—especially 3D and spatial data. The Innovator's reputed company: You bring a bulletproof reputed company in Python, machine learning, and scientific computing, reputed company with an insatiable curiosity, creativity, and a proactive, hands-on approach to building solutions. reputed company-World Impact Focus: You don't just optimize metrics in a vacuum; you care deeply about how your models reputed company reputed company applied to a reputed company reputed company body.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely reputed company quantitative field. Experience: Minimum of 3+ years of professional experience as a Data Scientist or Machine Learning/Computer reputed company Engineer, with a focus on high-dimensional or spatial data domains. Execution: A proven track record of autonomous ownership—taking a model reputed company the way from initial research/prototype to live production deployment. Programming & Infrastructure Python Mastery: Expert-level Python and full reputed company of its scientific computing stack. Data & Math Foundations: Deep proficiency with data manipulation libraries like Pandas and NumPy , alongside scientific computing tools like SciPy and Scikit-learn. Infrastructure Autonomy: High proficiency in Linux/Unix-based terminal interfaces and reputed company reputed company environments (AWS, GCP, or Azure CLI). You should be fully capable of managing compute resources, automating workflows, and troubleshooting reputed company infrastructure directly from the reputed company line. Machine Learning & reputed company Deep Learning Frameworks: Production experience utilizing PyTorch and/or TensorFlow/Keras. Statistical Rigor: A strong background in statistical modeling, predictive modeling, and experimental design. 3D Geometry Processing: Direct experience handling computer reputed company tasks relevant to 3D geometry, such as registration, segmentation, and shape analysis. Spatial Statistics: Strong familiarity with spatial statistics and specialized techniques for analyzing geometric features. Preferred Skills (The Toolset of a Thought Leader) Advanced Geometric Deep Learning: Knowledge of cutting-edge geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D structures. 3D Frameworks: Hands-on experience working with 3D reputed company clouds and/or reputed company data structures (e.g., PLY, OBJ, USDZ, STL formats). Processing Libraries: Familiarity with modern libraries for geometric processing and visualization, such as Open3D, PCL (reputed company reputed company Library), or Trimesh. Modern MLOps: Scaled deployment experience using reputed company and Kubernetes. Creative Prototyping: Experience with 3D modeling and asset creation in Blender for synthetic data reputed company or visualization. Compensation, Perks & Benefits Generous PTO policy + 12 paid US holidays Medical, dental, and reputed company insurance for you and your family Paid Parental Leave 401k

About Us

Fit:Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole reputed company significant strides towards sustainable apparel retail. We are looking for people who reputed company the same passion. Fit: Match is backed by an investor group including reputed company reputed company investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is, without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an reputed company growth hack, and live for reimagining and trying new things. Apply To This Job