About skillspath
skillspath is a global leader in cutting‑edge consumer technology, pioneering innovations that blend hardware, software, and immersive experiences. With a relentless focus on privacy, accessibility, and sustainability, skillspath creates products that shape the way millions of people interact with the digital world every day. Our Remote Data Science team sits at the heart of this innovation, turning massive streams of visual and sensor data into intelligent, real‑time insights that power everything from augmented reality (AR) experiences to next‑generation spatial computing.
As a remote‑first organization, skillspath empowers talent worldwide to collaborate across time zones, leveraging flexible work hours, state‑of‑the‑art collaboration tools, and a culture that celebrates curiosity, inclusion, and continuous learning. If you thrive in a fast‑paced environment where data meets imagination, you’ll find a home at skillspath.
Position Overview
We are seeking a highly motivated Remote Data Scientist to join our Video Planning group within the Spatial Intelligence Team (SPT). In this role, you will design, develop, and operationalize large‑scale machine‑learning pipelines that extract actionable insights from billions of images, videos, and sensor readings. You will partner closely with cross‑functional teams—including Computer Vision, Cloud Infrastructure, and Product Engineering—to ensure that our models are not only accurate but also production‑ready, scalable, and aligned with user‑centric product goals.
Key Responsibilities
- Design and implement end‑to‑end machine‑learning workflows that ingest, clean, and transform massive multimodal datasets (image, video, depth, LIDAR, and sensor data).
- Develop and fine‑tune state‑of‑the‑art deep learning architectures for tasks such as object detection, scene segmentation, 3D reconstruction, and pose estimation.
- Collaborate with the Computer Vision team to integrate novel research breakthroughs into production pipelines, ensuring robustness across diverse hardware platforms.
- Build statistical models and predictive analytics that inform product roadmaps, feature prioritization, and user experience enhancements.
- Perform rigorous quantitative analysis of model performance, including error analysis, bias detection, and A/B testing in real‑world environments.
- Translate complex data findings into clear, compelling visualizations and executive‑level presentations for stakeholders across product, design, and leadership.
- Maintain and improve data quality standards, establishing automated validation checks and monitoring systems to guarantee data integrity at scale.
- Mentor junior data scientists and engineers, fostering a culture of knowledge sharing, code review, and best‑practice documentation.
- Stay abreast of emerging research in computer vision, AR/VR, and large‑scale data processing, proactively proposing innovative solutions that keep skillspath at the forefront of the industry.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative field. A Master’s or Ph.D. is highly desirable.
- Experience: Minimum 2‑3 years of hands‑on experience building and deploying machine‑learning models in production, preferably with large‑scale visual or sensor data.
- Technical Skills: Proficiency in Python and libraries such as TensorFlow, PyTorch, scikit‑learn, and OpenCV. Experience with data‑processing frameworks like Apache Spark or Dask is a plus.
- Statistical Acumen: Strong foundation in statistical modeling, hypothesis testing, and experimental design.
- Problem‑Solving: Demonstrated ability to break down ambiguous problems, formulate data‑driven hypotheses, and deliver actionable solutions.
- Communication: Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
- Remote Collaboration: Proven track record of thriving in distributed teams, using tools such as Git, Jira, Confluence, and video conferencing platforms.
Preferred Qualifications & Additional Skills
- Advanced degree (M.S. or Ph.D.) focused on Computer Vision, Machine Learning, or Robotics.
- Hands‑on experience with AR/VR pipelines, including depth estimation, SLAM, and sensor fusion.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
- Knowledge of on‑device inference optimization techniques (Core ML, TensorRT, ONNX).
- Experience with data annotation tools, crowdsourcing platforms, and building high‑quality training datasets.
- Publication record in top‑tier conferences (CVPR, ICCV, NeurIPS) or patents related to vision‑centric AI.
Core Competencies for Success
- Analytical Rigor: Ability to conduct deep quantitative analysis, interpret complex results, and make data‑driven recommendations.
- Creativity & Innovation: Passion for exploring novel algorithms and pushing the boundaries of what is possible with visual AI.
- Collaboration: Strong team player who can build trust across interdisciplinary groups and influence decisions through evidence‑based storytelling.
- Adaptability: Comfortable navigating fast‑changing priorities, ambiguous requirements, and evolving technical landscapes.
- Ownership: Self‑starter who takes full responsibility for end‑to‑end delivery, from research to production monitoring.
Career Growth & Learning Opportunities
At skillspath, your career trajectory is shaped by your ambition and the impact you create. As a Remote Data Scientist, you will have access to:
- Mentorship from world‑renowned experts in computer vision, AI ethics, and hardware‑software co‑design.
- Annual research budget to attend conferences, publish papers, or enroll in specialized courses.
- Rotational programs that allow you to explore adjacent domains such as Natural Language Processing, Edge Computing, or Product Management.
- Leadership pathways that transition from technical individual contributor roles to senior architect or team lead positions.
- Opportunities to contribute to high‑visibility products that reach millions of users worldwide.
Work Environment & Culture at skillspath
skillspath cultivates a culture where curiosity is celebrated and diverse perspectives are valued. Our remote‑first policy ensures you can work from anywhere in California (or beyond) while staying connected through:
- Weekly virtual “Coffee & Code” sessions that foster informal knowledge exchange.
- Quarterly in‑person retreats at scenic locations to strengthen team bonds.
- Inclusive employee resource groups (ERGs) focused on gender, ethnicity, neurodiversity, and veteran support.
- Transparent communication channels where leadership shares product milestones, financial health, and strategic direction.
- Well‑being initiatives, including mental‑health days, fitness stipends, and ergonomic home‑office allowances.
Compensation, Perks & Benefits
We offer a competitive hourly rate of $27 per hour, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- 401(k) retirement savings plan with company match.
- Generous paid time off (PTO) and holidays, plus additional “innovation days” to pursue personal projects.
- Professional development stipend for courses, certifications, and conference attendance.
- Home‑office equipment allowance to set up an ergonomic workspace.
- Employee stock purchase plan (ESPP) and performance‑based bonuses.
- Access to cutting‑edge hardware (AR/VR headsets, LIDAR sensors) for testing and experimentation.
How to Apply
If you are excited about turning massive visual datasets into transformative experiences and want to join a visionary team at skillspath, we encourage you to submit your application today. Showcase your portfolio, GitHub repositories, or any relevant research that demonstrates your expertise.
Apply Now – Join skillspath’s Remote Data Science Revolution
Closing Statement
skillspath is committed to building a future where technology augments human potential. By joining our Remote Data Science team, you will play a pivotal role in shaping that future, solving real‑world challenges, and delivering products that delight users worldwide. We look forward to learning how your unique skills and passion can contribute to our mission. Apply today and become part of a community that values innovation, impact, and inclusion.
Apply for this job