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Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps.

Liftoff’s solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

AS A BACKEND ENGINEER ON THE CONVERSION ML TEAM, YOU WILL:

Design, implement, and maintain robust ML architecture to ensure high availability, reliability, and performance of ML models in production.
Implement monitoring tools and processes to track the performance of machine learning models in production, identifying any issues or degradation over time.
Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.
Lead and participate in incident response efforts, conducting root cause analysis and implementing corrective actions to prevent recurrence.
Create and maintain comprehensive documentation for ML infrastructure, processes, and best practices.
Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on goals and deliverables.
Contribute to an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review.
Join a nimble, consistently excellent, and experienced engineering team.

DESIRED QUALITIES AND EXPERIENCES:

5+ years of software engineering experience.
3+ years of experience in machine learning, software engineering, or reliability engineering, with a focus on production systems.
Solid core CS fundamentals (data structures, algorithms, architecting systems).
Proficiency in Python, Go, or similar programming languages.
Experience with ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g. AWS, GCP, Azure).
Experience with ML monitoring tools (e.g. Prometheus, Grafana).
Experience in big data engines such as Trino and Spark is a big plus.
Strong problem-solving skills and the ability to work collaboratively across teams.
Excited to work on large scale ML and data systems.
Ability to lead across team and role boundaries to effect large scale change in culture and systems.
A healthy sense of fun!

NICE TO HAVE:

Experience in ML systems for training Transformer models, CTR prediction models.
Experience in AdTech is a strong plus.

Travel Expectations:
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

Compensation:
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.

The following are our base salary ranges for this role:

SF Bay Area, NYC, Los Angeles/Orange County: $165,000 - 195,000
Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $150,000 - 180,000
All other cities and towns in our approved states: $140,000 - 170,000
Canada: CAD 130,000 - 150,000

#LI-JH1

Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance. All such discrimination and harassment is unlawful and will not be tolerated. Liftoff maintains a continued commitment to equal employment opportunity and expects the full cooperation of all personnel.

Liftoff's Compensation Strategy

Liftoff's compensation strategy includes competitive market rate along with equity and benefits and perks that will give our employees what they need to do their best work. In order to ensure teams are compensated fairly for the work performed, we map out specific levels and take into consideration the cost of labor within each location. Liftoff provides employees a total compensation package of competitive market salaries, equity, health and wellness stipends, medical benefits associated with your country of residence. The base compensation will vary based on location, experience as well as level.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

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CEO of Liftoff

Jeremy Bondy

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Average salary estimate

$167500 / YEARLY (est.)

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$140000K

$195000K

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What You Should Know About Senior Software Engineer, Liftoff

At Liftoff, a leading growth acceleration platform for the mobile industry, we’re on the hunt for a Senior Software Engineer to join our Conversion ML team. If you’re driven by innovation and excited by the prospect of utilizing machine learning to empower over 6,600 mobile businesses across the globe, this could be your next adventure! In this role, you’ll design and maintain robust ML architecture that guarantees high performance of our models in production, while implementing monitoring tools to track performance and identify issues. Your ability to lead incident response efforts and build a culture of engineering excellence will be invaluable. With 5+ years of software engineering experience under your belt, along with a strong foundation in machine learning and systems architecture, you'll work closely with cross-functional teams to deliver scalable solutions. Proficiency in Python or Go is essential, as is familiarity with ML frameworks like TensorFlow and PyTorch. You’ll thrive in our collaborative environment and contribute to exciting projects that have a real impact on our clients' success. So, if solving big challenges and leading technological advancements in advertising excites you, we can't wait to meet you! Join us at Liftoff, where your expertise helps shape the future of mobile growth.

Frequently Asked Questions (FAQs) for Senior Software Engineer Role at Liftoff

What are the responsibilities of a Senior Software Engineer at Liftoff?

As a Senior Software Engineer at Liftoff, your primary responsibilities will include designing, implementing, and maintaining ML architecture to ensure model availability and performance. You’ll also monitor ML models, lead incident response efforts, and collaborate with cross-functional teams to achieve shared goals. Your role will encompass creating documentation for ML processes and championing engineering excellence throughout the organization.