Software Engineer, ML Platform Senior

5 days ago


Mountain View, California, United States Haus Analytics, Inc. Full time
About Haus Analytics, Inc.

Haus Analytics, Inc. is a pioneering decision science company that specializes in providing cutting-edge technology solutions for businesses operating in the digital privacy paradigm. Our platform utilizes advanced causal inference-based econometric models to run experiments and help brands optimize their marketing, pricing, and promotions strategies, ultimately driving revenue growth and profitability. Our team consists of experienced professionals from top tech companies, including Google, Netflix, Amazon, and Meta, who recognized the need for high-quality decision science tooling and incrementality testing.

Our Mission

At Haus Analytics, Inc., our mission is to democratize access to decision science technology, empowering businesses of all sizes to make data-driven decisions and drive growth. We strive to simplify the process of experiment design, data cleaning, and analysis/insights, allowing our clients to focus on what matters most – driving revenue and profitability.

What We Do

We are seeking highly skilled Senior Software Engineers to join our team and help us build a robust and scalable foundation for machine learning, data, and product development. As a key member of our team, you will be responsible for designing and implementing scalable distributed systems that power critical features on our platform. Your expertise will be instrumental in shaping the future of our technology and driving business growth.

Responsibilities

  • Design and develop scalable distributed systems that power critical features on our platform.
  • Identify opportunities to consolidate key functionality into reusable, generalized patterns or services.
  • Build efficient solutions using Python and other languages as appropriate, leveraging cloud infrastructure and containerization.
  • Influence and help operate our entire platform using modern technologies such as Python, Flask, Metaflow, dbt, BigQuery, Pub/Sub, EventArc, Apache Beam, etc.

Requirements

  • 4-7+ years of experience as a Software Engineer, with a minimum of 4 years experience building scalable distributed systems incorporating or directly adjacent to data or machine learning.
  • Experience building and deploying products in Python or Go, Scala/Java, or other similar languages, with a focus on performance metrics, monitors, and dashboards.
  • Demonstrated ability to work in ambiguous environments, with excellent communication skills and a pragmatic approach to problem-solving.
  • Experience with cloud infrastructure (Google Cloud, AWS, etc) and working familiarity with Docker/Kubernetes.
  • Experience working with a variety of distributed data systems such as Kafka, Storm, Spark, Clickhouse, Druid, Snowflake, BigQuery, etc.

Bonus Points

  • Earlier stage startup experience.
  • Experience with build systems and infrastructure management tooling like Terraform.
  • Experience with data/ML frameworks and tooling.
  • BS/MS/PhD in Computer Science, Applied Mathematics, or a related field.

What We Offer

  • Competitive salary and early startup equity.
  • Top-of-the-line health, dental, and vision insurance.
  • 401k plan.
  • Unlimited PTO with a 10-day minimum.
  • Provide you with the tools and resources you need to be productive (new laptop, equipment, etc.).

$150,000 - $190,000 a year

The salary range for this position is expected to be $150,000 - $190,000. Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.

Haus Analytics, Inc. is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.



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