Our mission is to build a world-class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business growth, and build data and ML pipelines to fuel critical initiatives.

Responsibilities

Explore large datasets, research, and develop algorithms/models to solve interesting business problems.

Design and code highly scalable machine learning applications processing large volumes of data.

Collaborate with data science, business, and engineering teams to deliver machine learning-based data products.

Develop best practices and tools for robust feature delivery.

Design and improve architecture for horizontal scalability.

Ideal Candidate

Strong background in Machine Learning with deep understanding of algorithms and modeling techniques.

6+ years of software development experience, including 4+ years applying Machine Learning to real problems.

Proficiency in coding and experience with Big Data technologies and frameworks like SparkML, TensorFlow, PyTorch, Keras.

Understanding of distributed systems and large-scale engineering challenges is a plus.

Technologies We Use

Scala, Python

MongoDB, Redshift, Druid

Airflow, Jenkins

Spark, SparkML, Kinesis

Skills Machine learning, algorithms, Python, PyTorch, Spark, SQL, AWS, statistics.

Additional Skills & Qualifications Experience leading AI infrastructure in ecommerce or marketplace contexts, especially around Search, Personalization, and Recommendation systems. Experience with production ML systems end-to-end, vector databases, real-time feature engineering, and mentoring junior engineers.

Pay and Benefits The pay range is $285,000 - $325,000 per year, with competitive salary, equity, insurance, wellness stipend, 401(k), flexible leave, parental support, holidays, catered meals, home office stipend, ERGs, pet-friendly office, and more.

Workplace Type Hybrid position in Redwood City, CA.

Application Deadline August 14, 2025.

About TEKsystems TEKsystems is a global leader in technology services, with a focus on transformation, full-stack capabilities, and delivering business outcomes. We are an equal opportunity employer committed to diversity and inclusion.

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