Senior Software Engineer, Algorithms + ML

About ALSO.

We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient.

We're seeking a product-minded Senior Software Engineer, Algorithms + ML, who will take ambiguous customer and product needs, model the underlying technical problem, and translate solutions into reliable, production-ready code that runs across mobile, embedded, and cloud environments. You'll partner closely with Product, Design, Embedded, Mobile, Cloud, Data, Manufacturing, and Systems Engineering teams to make smart architectural decisions about where algorithms should run, how they should be deployed, how their performance should be measured, and how they improve over time.

This role is ideal for someone who can move fluidly from problem definition to modeling, experimentation, implementation, deployment, telemetry, and iteration, balancing algorithmic quality with real-world product constraints such as latency, battery life, compute, bandwidth, reliability, and manufacturability.

What You'll Do

• Design, develop, deploy, and iterate on algorithms and ML models across mobile, embedded, and cloud platforms

• Partner with Product Managers, Designers, and Engineering stakeholders to translate customer needs into clear algorithmic requirements

• Work with platform and domain experts to deploy algorithms into production and monitor their behavior in real-world environments, optimizing for latency, battery usage, communication efficiency, robustness, and intended product behavior

• Analyze model and algorithm performance using experimentation, A/B testing, shadow testing, telemetry analysis, and offline evaluation, identifying and investigating outliers, failure modes, regressions, and edge cases in production data

• Design and maintain input/output data schemas to support efficient edge-to-cloud telemetry, diagnostics, model retraining, and continuous improvement, collaborating with Cloud and Data Engineering teams on the pipelines that support this work

• Use real-world telemetry data and generate synthetic data where needed for training, testing, validation, and simulation

• Build processes to monitor model performance, data drift, model drift, and concept drift over time

• Support algorithms used in customer-facing products as well as factory, manufacturing, and validation workflows

• Manage technical priorities, project timelines, and trade-offs in a fast-moving product development environment

• Communicate technical findings, performance trends, and improvement plans clearly to technical and non-technical stakeholders

What You'll Bring

• 5+ years of professional experience building algorithms, ML systems, or production software for mobile, embedded, cloud, or connected products, with a track record of shipping into production, ideally on resource-constrained devices

• Strong hands-on programming skills in Python and C/C++, with the ability to write production-quality, testable, and maintainable code

• Data manipulation with SQL and knowledge of Data Warehousing solutions like Databricks or Snowflake

• Practical knowledge of algorithm development, model building, or signal-processing workflows using tools such as MATLAB, NumPy, SciPy, PyTorch, TensorFlow, or similar frameworks

• Familiarity deploying models or algorithms to edge environments using tools such as TensorFlow Lite, Edge Impulse, PyTorch Mobile, ExecuTorch, or comparable frameworks, with a demonstrated ability to optimize against real-world constraints like latency, battery life, compute usage, memory footprint, bandwidth, and reliability

• Comfort working with telemetry, logs, device data, and production performance data to diagnose issues, measure outcomes, and improve algorithm performance over time, including hands-on involvement with data schemas, pipelines, or edge-to-cloud telemetry flows supporting validation, monitoring, retraining, and experimentation

• Working knowledge of experimentation methods such as A/B testing, shadow testing, offline evaluation, simulation, synthetic data generation, and production monitoring

• Familiarity with CI/CD pipelines, Docker, automated testing, and MLOps or model deployment workflows

• Domain knowledge in one or more areas such as mobility, IoT, automotive, fitness, wearables, robotics, consumer electronics, or connected devices

• Ability to collaborate across Embedded, Mobile, Cloud, Data, Product, Design, Manufacturing, and Systems Engineering teams to make practical technical trade-offs, with clear communication skills to explain algorithm behavior, performance trends, and recommendations to technical and non-technical stakeholders

• Exposure to real-time operating systems, embedded Linux, iOS, Android, hardware-in-the-loop systems, simulation environments, factory production, or manufacturing validation workflows is a plus.

The salary for this position ranges from $170,000 - $205,000 per year, depending on experience, qualifications, and location.

Perks & Benefits

• Robust health coverage — excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options

• One Medical membership and dedicated insurance advocates

• Rich fertility and family building benefits with Progyny

• Flexible time off

• 401(k) match

#LI-MH1

Why ALSO.

We’re passionate about helping the world find a better way to get there—wherever it is you’re headed.

We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. 

Together we’re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges.