Research Scientist Jobs in Mountain View, USA

Looking for a research scientist job in Mountain View? Choose from 25 open roles at 5 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

25 Open roles
5 Companies hiring
โ€” Average salary

Companies hiring Research scientists in Mountain View

What do Research scientists in Mountain View work on?

The work across these postings centres on original machine learning research, with a strong emphasis on large language models and generative techniques. Specific areas include multimodal synthesis covering image, video, and audio; reinforcement learning; evaluation and benchmarking; and safety oversight. A number of roles are tied to identifiable product lines or research groups within the employers listed, such as work on Gemini capabilities, autonomous driving perception, and health-focused ML. Some postings ask candidates to lead independent research agendas in generative modeling, while others focus on building audio-to-audio models for real-time dialog or developing ML models for clinical event prediction. More senior postings, such as the Senior Staff Research Scientist at Google Research, involve setting long-term research strategy across teams and guiding organisational direction. Publishing at top venues is an explicit expectation in most of the sample summaries reviewed.

Skills and experience employers ask for

These figures reflect mentions in posting descriptions across the full set of postings on this page, not a formal list of requirements. PhD and publication record appear in nearly all postings reviewed. LLMs and evaluation methodology appear in the majority. Python, reinforcement learning, and fine-tuning appear in roughly half or more. PyTorch, TensorFlow, diffusion models, and distributed training appear in a substantial minority. The sample is small, so treat these patterns as indicative rather than definitive.

PhD 92%
Publications 92%
LLMs 72%
Evaluation 68%
Reinforcement learning 52%
Python 48%
Fine-tuning 36%
PyTorch 32%
TensorFlow 28%
Agents 28%
Distributed training 24%
C\+\+ 24%
Diffusion models 24%
Master's degree 20%

Mountain View office, hybrid or remote?

The strong majority of postings on this page are listed as onsite, with a small number designated hybrid. None are listed as remote, and there are no postings with unknown work-mode status. Candidates should assume in-person attendance in Mountain View for most of these roles unless a specific posting states otherwise. The hybrid postings do not specify the required number of office days, so it is worth checking individual listings for that detail before applying.

Make your application specific to the work

  1. Review the research domain These postings span distinct areas including generative media, health ML, autonomous systems, and language model safety. Identifying which domain aligns with your published work will help you target the right posting from the outset.
  2. Prepare your publication record A publication history is mentioned in almost all postings in this set, and several explicitly ask for conference or journal submissions. Gather citations, links, or a research statement before starting applications.
  3. Check seniority level carefully Postings range from research scientist through to senior staff and lead levels, with years of experience managing research agendas varying considerably. Matching your experience to the stated seniority will save time on both sides.
  4. Apply through each employer directly The employers in these postings each maintain their own application systems. Use the links on each job page here to reach the original posting and submit through the employer's own portal.

Questions about Research Scientist jobs in Mountain View

A PhD is mentioned in the large majority of postings in this set, and most sample summaries list it as a requirement rather than a preference. A small number of postings also mention a master's degree, but based on the descriptions available, doctoral-level qualification is the norm here.

The employers listed in these postings are Google, Nuro, Waymo, Google DeepMind, and Databricks. Google accounts for the largest share of postings, with Nuro and Waymo also representing a meaningful portion.

None of the postings on this page include an advertised pay range, so there is no compensation information available here to compare. You would need to ask the employer directly or consult other sources.

A small number of postings are listed as hybrid. The remainder are listed as onsite. No postings are listed as remote. For hybrid roles, the specific number of days in the office is not stated in the information available here.

Across the postings on this page, LLMs and evaluation methodology are mentioned in the majority of descriptions. Reinforcement learning and Python appear in roughly half. PyTorch, TensorFlow, fine-tuning, and diffusion models appear in a notable minority. These are mentions in descriptions, not confirmed requirements in every case.

Jobs checked 3 hours ago. ยท Guide reviewed 9 September 2026.