Augmodo is at the forefront of spatial computing, using AI and wearable technology to transform physical retail spaces into dynamic digital environments. Our wearable devices capture real-time 3D mapping and inventory data, empowering retail teams to work smarter while giving businesses unprecedented visibility into their physical operations.
We are looking for an agile, early-career Machine Learning Associate to join our distributed team. This is a critical, high-impact role focused on the "front lines" of our machine learning pipeline. You will bridge the gap between raw data collection and model performance, specifically supporting our new pilot programs with major retailers.
Unlike a traditional data science role, this position is hands-on and "non-typical." You will be the primary owner of data curation, validation, and synthetic data generation, building the custom tooling necessary to pivot quickly to meet changing customer demands.
Data Curation & Validation: Own the end-to-peer validation for existing algorithms. You will visually validate data from "cart collects" for accuracy (e.g., verifying aisle and product types) and curate training examples to improve model performance.
Synthetic Data Generation: Utilize AI generative algorithms to create diversified training images (e.g., simulating low/high stock levels for produce inventory) to supplement real-world data.
Ad Hoc Tooling & Scripting: Set up tooling and scripts to handle data needs that fall outside of standard platforms. You will leverage AI-assisted code generation tools to build these utilities rapidly.
Algorithm Optimization: Establish a semi-automated process to identify and leverage "failure cases" from human-in-the-loop reviews, using these insights to boost algorithm accuracy.
Accuracy Analysis: Take over "Accuracy Visit Analyses," comparing system production output against ground truth to determine recall rates and identify systemic tooling issues.
Log Parsing & Metrics: Develop and maintain simple scripts to parse system logs, providing insights into the health of deployments at new retail locations.
Education: Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
Experience: 0–1 years of professional experience in Machine Learning (this is an early-career role; recent graduates are encouraged to apply).
Technical Proficiency:
Solid foundational knowledge of Python (via degree or projects).
Familiarity with SQL and light database management.
Comfort using AI-assisted coding tools (e.g., GitHub Copilot) to accelerate development.
Basic understanding of Generative AI for image creation/synthetic data.
Augmodo offers benefits inclusive of medical, dental, vision and 401k
The salary range for this role is $45,000 USD - $65,000 USD +equity
Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
HHMI seeks an AI Engineer to develop and validate deep learning approaches for particle detection and mesoscale structural analysis in cryo-electron tomography at the Janelia Research Campus.
Experienced data scientist needed to lead risk and fraud modeling efforts at PayPal, building production ML systems and monitoring to reduce fraud and improve decisioning.
Micron seeks an experienced Staff Data Scientist to lead the architecture and production deployment of agentic AI and LLM-based systems that accelerate semiconductor design and manufacturing workflows.
Dell Medical School seeks an experienced Data Science Analyst II to build and operationalize predictive models and data pipelines that inform clinical and operational decisions across the health system.
Experienced data science leader wanted to design, deploy, and lead analytics solutions (models, dashboards, APIs) for CLA's Internal IT and client projects while mentoring team members and supporting business development.
Lead OnLogic’s AI strategy and delivery as Manager, AI — building scalable ML, LLM, and computer vision solutions to drive operational improvements at our South Burlington facility.
Lead advanced analytics and AI/ML projects for Navy and DoD customers, applying Python, NLP, and GenAI to produce decision-grade insights and tools.
Laminar is seeking a Jr. Machine Learning Developer to develop, test, and productionize ML models that extract actionable insights from spectral and sensor data to improve industrial process efficiency and sustainability.
GoodAtNumbers is hiring a US-based remote Machine Learning Engineer Intern to push ML research into production by building, evaluating, and deploying reliable LLM-driven features during a paid 12-week summer internship.
An experienced channel analytics and BI professional to design data models, dashboards, and integrations that enable NVIDIA's partner programs and sales channel operations.
Join Elsevier’s generative AI team to design, prototype, and govern high-quality conversational AI experiences that deliver evidence-backed clinical answers at the point of care.
Experienced ML researcher sought to advance and deploy deep learning and generative AI solutions at Layer 6, TD Bank's AI research center in New York.
The Cigna Group is hiring an experienced Data Science Advisor to develop predictive models and translate analytics into underwriting and pricing recommendations that drive profitable growth.