InMobi

InMobi

Machine Learning Engineer – Ad Sciences

San Mateo, CA

Sponsorship not specified$173k-$210kDetected 10 days ago
PythonJavaCloud PlatformsKubernetesPlatform EngineeringMachine LearningDeep LearningPyTorchSparkAirflowData EngineeringLLMsA/B TestingResearch

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$20,649 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Adapt open-source LLM infrastructure like DeepSpeed and OpenRLHF to meet InMobi-specific post-training needs
  • Leverage the breadth of data features across our product portfolio to strengthen our data pipelines and unlock new features for training and inference
  • Explore new platforms and ecosystems (e.g., JAX on TPUs) to help diversify our compute

Responsibilities

  • Build and support training pipelines and model implementations that maximize experimentation velocity
  • Build monitoring and evaluation solutions that keep our infrastructure reliable and our models behaving as expected
  • Collaborate closely with Applied Scientists on active research, contributing directly to experiment design and modeling

Requirements

  • Experience with accelerator-based inference systems such as Triton, and optimization backends like ONNX and TensorRT

Compensation

  • Competitive salary and ESOP grant (where applicable)

Benefits

  • High-quality medical, dental, and vision insurance (including company-matched HSA)
  • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays
  • Substantial maternity and paternity leave benefits and a compassionate work environment
  • Flexible working hours to suit everyone
  • Wellness stipend for a healthier you!
  • If this sounds like the kind of team, role, values, benefits, and challenges that excite you, we'd love to hear from you.
  • We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.
  • Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!
  • Master's degree in machine learning or a related field required; a PhD is a plus
  • At least 3 years of experience as a Machine Learning Engineer, building state-of-the-art machine learning/deep learning systems at extreme scale

Company info

  • InMobi (Corporate)
  • InMobi Group is a global technology company shaping the future of agentic commerce and advertising.
  • Through its ecosystem of businesses - including InMobi Advertising and flagship consumer platform Glance - InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively.
  • Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte.
  • Ltd., a non-consolidated subsidiary of InMobi Pte.
  • InMobi Advertising
  • InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes.
  • Through its proprietary intelligence, AI-led solutions, and vast consumer reach - including flagship consumer platform Glance - InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce.
  • Glance is owned and operated by Glance InMobi Pte.
  • To learn more, visit advertising.inmobi.com.
  • Glance is an intelligent shopping agent, redefining the commerce experience.
  • Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV - shaping the new era of shopping.
  • Glance is operated by Glance InMobi Pte.
  • Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms.
  • To learn more, visit glance.com.

Equal opportunity

  • equal opportunity employer

This listing is sourced directly from InMobi's careers page and normalized into a canonical job model.