Machine Learning Engineer

About the Role

We are seeking a Machine Learning Engineer to develop advanced models for extracting meaningful signals from multimodal time-series data. This role focuses on building robust, real-time algorithms that operate on noisy, high-frequency sensor inputs. You will work on problems involving temporal modeling, representation learning, and inference under real-world constraints.

What You'll Do

• Design and implement machine learning models for time-series and sequential data
• Develop algorithms that extract structured signals and latent variables from noisy sensor inputs
• Build and optimize real-time inference pipelines with latency and compute constraints
• Explore and apply architectures such as temporal convolutional networks (TCNs), RNNs/LSTMs/GRUs, and transformer-based sequence models
• Work on multi-modal learning and sensor fusion
• Replace or augment classical signal processing pipelines with learned models
• Design training strategies for windowed and streaming data, weakly labeled or partially observed datasets, and multi-task learning setups
• Evaluate models using both statistical metrics and application-driven performance criteria
• Collaborate with cross-functional teams to bring models from research to production

Qualifications

• Strong experience with machine learning for time-series data
• Experience with transfer learning and knowledge distillation techniques
• Proficiency in Python and PyTorch (or similar frameworks)
• Solid understanding of signal processing fundamentals (filtering, noise, frequency domain)
• Experience working with real-world, noisy datasets
• Experience building or deploying low-latency / real-time systems
• Experience with sensor data (e.g., IMUs)
• Familiarity with sensor fusion methods (e.g., Kalman filters, probabilistic models)
• Experience with multi-modal or multi-task learning
• Exposure to embedded or edge deployment constraints
• Background in applied domains involving physical systems or human data
• BSc or MSc degree in quantitative fields (e.g., computer science, engineering, physics, applied math)

Who You Are

• Ability to reason about temporal structure, causality, and latency
• Strong intuition for modeling tradeoffs vs. deployment constraints
• Comfort working with imperfect, real-world data
• End-to-end ownership: from modeling to validation to deployment
• An Owner: You possess a powerful ownership mindset and take full accountability for your projects from concept to completion
• A Proactive Driver: You are a self-starter who can "catch the vision and run with it." You thrive with autonomy and are skilled at moving projects forward with minimal oversight
• A Team Player: You are a natural collaborator who communicates clearly and works effectively with cross-functional teams to achieve shared goals
• Adaptable and Resilient: You excel at managing multiple priorities without sacrificing quality. You see the challenges of a startup environment as opportunities
• Detail-Oriented: You have a keen eye for detail and are committed to producing high-quality, well-documented work

Compensation, Benefits & Hours

• Full-time employee position, working remotely or in our Los Angeles office
• Competitive compensation commensurate with experience
• Employee stock option program participation
• Health care benefits (gold PPO coverage with Blue Shield, plus dental and vision) starting within 30 days of employment
• Open PTO policy
• Occasional domestic and international travel may be required