About the company:
X is Alphabet’s moonshot factory with a mission of inventing and launching “moonshot” technologies that could someday make the world a radically better place. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. As an innovation engine, X focuses on repeatedly turning breakthrough-technology ideas into the foundations for large, sustainable businesses.
The Role:
In this role, you will be a part of the early stage dynamic project working on a full range of applied machine learning tasks - from prototyping to building full-scale solutions. As a member of the team, you have a deep passion for problem solving and experimentation.
This is a dynamic role and requires high cross-functional communication, organization, and planning. The ideal candidate is a self-starter and has a track record of effectively operating in a dynamic loosely structured environment (e.g., startup, new product within Google).
How you will make 10x impact:
- Act like an owner; be fearless in diving deep, asking questions, proposing solutions, establishing consensus and then making shit happen.
- Design and implement robust, automated, production-grade software using horizontally scalable components, while applying software engineering best practices. This includes strong code quality and understanding of the software release lifecycle, e.g. unit testing, CI/CD and production operations
- Use AI for code tools
- Work effectively with cross-functional teams of engineers, product managers, and domain experts
- Define ML experiments, perform data reviews
- Get your hands dirty! Identify, design, and implement a set of experiments and move them to MVPs.
- Have fun!
What you should have:
- MS/PhD degree or equivalent practical experience in machine learning, but at least 6+ years professional experience building products is required.
- Significant on-the-job experience designing, developing, maintaining and releasing software, along with ownership in making product tradeoffs and design decisions
- Experience building ML models on sensing data and language data.
- Experience with building data pipelines, e.g. one or more of Beam, Dataflow, Flume, Flink, Hadoop, Spark
- Experience with managing software in production, including configuration, deployment and monitoring
- Python proficiency.
- Experience with ML frameworks: PyTorch, TensorFlow/Keras/JAX. Experience with Python packages: Numpy, Scipy, Pandas.
- Experience with Cloud providers such as Google Cloud Platform or AWS.
- Experience with ML workflow packages
- Self-starter - can make progress independently.
- Excellent written and verbal communication skills, e.g. design docs, PR descriptions
- Bachelors/Masters in Computer Science is preferred
- Strong proficiency in Python development, with experience in the latest Python toolchains and frameworks, e.g. uv, ruff, fastapi, Pydantic
- Ability to work in the Mountain View office at least 3 days per week
- Experience managing outside resources
It would be great if you also had these:
- Ability to think both strategically and tactically about complex initiatives to guide a variety of moving pieces towards execution.
- Ability to influence without authority.
- Motivated by making the world a better place through technology.
- Field and/or industry geophysics experience.
- Signal processing experience with seismic and/or DAS
- Large scale optimization/inversion experience
- High performance computing (HPC) experience.
- GCP experience.
- Experience in infrastructure-as-code, e.g. Terraform
- Exposure to productions systems that rely heavily on ML models, and/or experience with model deployment
- Experience working in start-up like environments where things can change on a dime
- Consistent track record of delivering high quality solutions to large, complex software problems
- Experience in finding the exact right meme or gif for any situation
- Joy in learning new technologies, learning from your teammates and teaching them as well!
- Passion for delighting users, but also extracting energy from both good and difficult feedback
- Experience in agonizing over a technical decision for about ten minutes before understanding what the product and the team needs most and doing that (but then still wondering if you did the right thing)
The US base salary range for this full-time position is $165,000 - $258,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Top Skills
What We Do
We create breakthrough technologies to help solve some of the world’s biggest problems. Born at Google, we got our start creating self-driving cars and smart glasses. Since then, we’ve continued to bring sci-fi ideas into reality.
