Sr. Software Engineer - Machine Learning Infrastructure

Key Skills

Analytical and Problem solving, API integration, AWS, Azure, C Programming, C++, Data Architecture, Data Modeling, Data science techniques, Database, Deep Learning, Effective communication skills, GoLang, Google Cloud Platform (GCP), GPUs, HTTP acceleration, Infrastructure as code, Java Programming, Machine learning techniques, Mentoring, Pipeline automation, Product Management, Python Programming, PyTorch, Site Reliability Engineering (SRE), Software Development, Software Testing, TensorFlow, User support and Troubleshooting

Job Description

We’re looking for a seasoned engineer to fill a leadership role in designing, building and supporting the machine learning platforms that will power the future of Moloco’s growth. Your work will span our flagship user- and advertiser-facing products. Relevant technologies we use at Moloco include Tensorflow, Airflow, BigQuery, Dataflow, Kubernetes, Google Cloud Platform, Terraform and the C++, Go and Python programming languages.

We understand the value of a strong engineering team and strive to hire only the best talent. While tackling challenging real-world problems, you will make a positive impact on millions of mobile users in the world and grow with top-notch colleagues.

Basic Qualifications

• 6+ years software engineering experience using one or more modern languages such as C#, C++, Go, Java, Python
• 4+ years software development experience on backend/infrastructure systems
• 2+ years of cloud experience (deep expertise in using GCP, AWS and/or Azure)
• Strong Computer Science fundamentals and problem-solving skills
• Strong software development skills, from requirements to design to implementation
• Mastery of multiple skills involved in developing large scale systems such as integration testing, deployment, monitoring, production troubleshooting, database schema design, or developing data processing pipelines
• Experience delivering projects with material impact, through leading project teams of 5+ engineers and collaborating within and across teams and roles (Product Management, SRE, Data Science, ML modeling, etc)
• Experience mentoring engineers
• Strong written and verbal communication skills
• Bachelor’s Degree in Computer Science, or closely related field

Preferred Qualifications

• Experience with machine learning frameworks (e.g. TensorFlow, PyTorch)
• Experience with machine learning model architectures
• Experience with ML hardware accelerators (e.g. GPUs, TPUs)

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills and abilities. We also offer a competitive benefits package.

Base Compensation Range:

$155,904—$233,856 USD

Moloco Thrive: Benefits and Well-Being: 

We take care of you and create the conditions for you to do the best work of your career. Through a lens of Inclusion, we offer innovative benefits which empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.

Moloco Values:

• Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.

• Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.

• Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.

• Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.