体育计算机视觉工程师
Sports Computer Vision Engineer
SumerSports 是一家领先的足球智能技术公司，专注于为足球迷和 NFL 俱乐部提供创新的产品套件。我们由来自 NFL 俱乐部、科技初创公司、金融和学术界的高管、工程师、数据科学家和远见者组成。
我们的数据驱动平台为球队提供见解和工具，在薪资帽限制内做出明智决策。该平台还服务于 NCAA，提供关于转会门户等方面的见解。
让我们与众不同的是，我们融合了大型科技人才、数据科学家和前 NFL 人员，他们合计拥有 600 多年的 NFL 经验。我们的领域知识通过人工智能和机器学习技术得到增强，从而对足球的许多方面提供了独特的视角。
我们正在招聘一名亲力亲为的计算机视觉工程师，负责构建和改进体育视频智能模型——包括检测、跟踪、姿态、事件理解以及多视角推理。你将大部分时间用于 CV 研究 + 应用建模（实验、架构、训练、评估），并与数据/平台团队合作，确保你的工作可以可靠地发布。
此职位以 CV 为核心。对可扩展流程/MLOps 的倾向是加分项，而非必需条件。级别（中级或高级）取决于你能够独立承担的范围和推动结果的能力。
职责
CV 建模与实验
- 为体育视频构建和训练 CV 模型：球员/球检测、多目标跟踪、姿态/关键点、事件/动作识别、身份关联（重识别）。
- 主导实验循环：假设 → 消融实验 → 错误分析 → 可衡量的改进。
- 设计并维护评估：任务合适的指标（例如，MOT 指标、关键点准确率、事件精确率/召回率）、数据集切片和失败分类法。
- 提高数据效率：增强、采样策略、处理标签噪声、在有帮助的地方使用弱监督/自监督。
- 对现代架构进行原型设计和迭代（例如，基于 Transformer 的检测/跟踪、时序模型、多任务设置）。
可交付的研究
- 协作进行数据集 + 标注设计：格式、模式、工具、版本控制。
- 帮助实现模型生产化：打包、批量/流式推理模式、吞吐量/延迟权衡、鲁棒性检查。
- 添加轻量级质量门禁：可复现性、自动化评估、回归检测
资格要求
必须具备：
- 具有实际应用 CV 经验，有动手建模开发经验
查看英文原文
SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We’re hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models—detection, tracking, pose, event understanding, and multi-view reasoning. You’ll spend most of your time on CV research + applied modeling (experiments, architectures, training, evaluation), and partner with data/platform teammates to ensure your work can ship reliably.
This role is CV-first. A bend toward scalable pipelines / MLOps is a plus, not a requirement. Level (mid vs senior) depends on scope ownership and how independently you can drive results.
Responsibilities
CV Modeling & Experimentation
- Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID).
- Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements.
- Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy.
- Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful.
- Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups).
Research that Ships
- Collaborate on dataset + labeling design: formats, schemas, tooling, versioning.
- Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks.
- Add lightweight quality gates: reproducibility, automated eval, regression detection
Qualifications
Must-have:
- Strong applied CV experience with hands-on model development (not just running existing repos).
- Solid PyTorch skills: training loops, debugging, data pipelines for vision workloads, DDP basics.
- Comfort with video CV fundamentals: occlusion, identity switches, temporal consistency, calibration, domain shift.
- Strong Python engineering and a bias toward measurable outcomes.
Nice-to-have (Bonus):
- Sports video CV or adjacent domains (multi-agent tracking, pose, crowded scenes).
- Experience with video tooling (FFmpeg), efficient dataset formats (WebDataset/shards), or streaming/batching to GPUs.
- MLOps/production experience: model packaging, CI for training/eval, serving (Triton/TorchServe), monitoring.
Benefits
- Competitive Salary and Bonus Plan
- Comprehensive health insurance plan
- Retirement savings plan (401k) with company match
- Remote working environment
- A flexible, unlimited time off policy
- Generous paid holiday schedule - 13 in total including Monday after the Super Bowl
SumerSports is committed to fair and equitable compensation practices.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.
Originally posted on Himalayas