ZipRecruiter

Log In

1

Member Of Technical Staff Software Engineer Jobs

Cohere

Member of Technical Staff, MLE

New York, NY · On-site

Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their ... As a Member of Technical Staff, Applied ML, you will: * Work directly with enterprise customers on ...

Mercor

Member of Technical Staff, Deeptune

New York, NY · On-site

$220K - $600K/yr

Millions of domain experts on the platform are paid over $4 million per day to train frontier AI ... About You You're a strong engineer across backend and infrastructure (Python, Go, TypeScript, etc ...

New

Nutanix

Member of Technical Staff 4

San Jose, CA · On-site

$147K - $294K/yr

... software. What You Will Bring * BS/ MS in Computer Science or Engineering with 5 - 8 Years of ... experience in designing and developing applications. * Strong experience in Linux, Kubernetes, and ...

Pylon

Member of Technical Staff, API

San Francisco, CA · Remote

$130K - $220K/yr

The Team We're looking for Back End Engineers to join our API team. We treat our GraphQL API as a product -- because it is one. Multiple customers build directly on top of it, and the quality of ...

previous page

Showing results 41-60

All JobsMember Of Technical Staff Software Engineer Jobs

Member Of Technical Staff Software Engineer information

What is a member of technical staff software engineer?

A Member Of Technical Staff (MTS) Software Engineer is a technical professional who designs, develops, tests, and maintains software systems within a company, often as part of an engineering team. This title is commonly used at technology companies such as VMware, Oracle, and Nutanix, and typically signifies a core engineering role with responsibilities that may include coding, debugging, collaborating with cross-functional teams, and contributing to product architecture. The MTS role can range from entry-level to senior, depending on the organization's career ladder, and often involves working on complex, large-scale software projects.

What are the key skills and qualifications needed to thrive as a member of technical staff software engineer?

To thrive as a Member Of Technical Staff Software Engineer, you need strong programming skills, a solid understanding of algorithms and data structures, and typically a degree in computer science or a related field. Familiarity with software development tools such as Git, CI/CD pipelines, and experience with languages like Python, Java, or C++ are commonly required, along with knowledge of cloud platforms or relevant certifications. Effective problem-solving, teamwork, and clear communication are crucial soft skills for collaborating on complex projects and driving innovation. These skills and qualifications are essential for developing robust software solutions, maintaining code quality, and ensuring project success in dynamic engineering environments.

What is the difference between Member Of Technical Staff Software Engineer vs Software Developer?

AspectMember Of Technical Staff Software EngineerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, sometimes with specialized certificationsBachelor's degree in CS or related field often sufficient
Work EnvironmentResearch and development teams, cross-functional projects, often in tech companiesDevelopment teams, product-focused environments, in various industries
Industry UsageCommon in large tech firms, R&D divisions, and engineering-focused companiesWidely used across startups, mid-sized, and large companies in software development

The Member Of Technical Staff Software Engineer typically involves more advanced technical responsibilities, research, and innovation, whereas a Software Developer focuses on coding, implementing features, and maintaining software. Both roles require strong programming skills, but the Member Of Technical Staff often has a broader scope in technical leadership and problem-solving.

How does a member of technical staff software engineer typically collaborate with cross-functional teams?

As a Member Of Technical Staff Software Engineer, you’ll regularly work with cross-functional teams including product managers, designers, and quality assurance engineers. Collaboration often involves participating in planning meetings, design reviews, and code reviews to ensure features are well defined and implemented efficiently. Effective communication is key, as you’ll need to translate technical concepts for non-engineering stakeholders and align your work with broader project goals. This collaborative environment fosters innovation and helps deliver high-quality software products on schedule.
More about Member Of Technical Staff Software Engineer jobs

What cities are hiring for Member Of Technical Staff Software Engineer jobs?

Cities with the most Member Of Technical Staff Software Engineer job openings:

What states have the most Member Of Technical Staff Software Engineer jobs?

States with the most job openings for Member Of Technical Staff Software Engineer jobs include:

What job categories do people searching Member Of Technical Staff Software Engineer jobs look for?

The top searched job categories for Member Of Technical Staff Software Engineer jobs are:

Member Of Technical Staff Software Engineer jobs near you
Infographic showing various Member Of Technical Staff Software Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Research - Member of Technical Staff

Simile AI, Inc

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 days ago

Job description

About the Company
Simile is The Simulation Company. We simulate human behavior to keep people at the center of the decisions that shape the world. With AI, anyone can create a product, a campaign, a policy, or a script - the bottleneck has moved upstream. The hard question is no longer whether you can create something, but what to create, for whom, and how to bring it to life. Those are fundamentally human decisions, and they shouldn't be left to chance or handed off to an algorithm. We're building the infrastructure to understand human behavior at scale and to represent humans in an increasingly agentic world. Our mission is to simulate all eight billion people on earth.
We launched five months ago. Since then we've grown revenue 5x, built a new foundation model for human behavior that has run tens of millions of simulations for F100 enterprises, trained a first-of-its-kind confidence model that predicts the accuracy of every simulation, and released the first product that lets organizations verifiably predict the future. The world's leading companies use Simile to make business-critical decisions - from consumer leaders like CVS Health and Wealthfront to professional services organizations like Deloitte and Gallup - strategizing product launches, entering new markets, and forecasting earnings calls.
We've raised over $200M at a $2B post-money valuation led by Greenoaks, with Index Ventures, Hanabi, A*, Bain Capital Ventures, and CVS Health Ventures. We've grown from a small home in Palo Alto to a global team of 50+, and we're building a team of the best researchers, engineers, designers, and operators in the world. The future is too important to be left to chance.
About the Role
As a Member of Technical Staff (MTS) in Research, you will work across the stack to train, evaluate, deploy, and monitor our models of human behavior. At Simile, we maintain a tight research-to-product pipeline. This requires intense scientific rigor; we must be able to trust our experimental methods as they are integrated into production systems that our customers use for making real high-stakes decisions.
We are looking for researchers who find it gratifying to see their work pushed to its absolute limits. You will own the research cycle end-to-end: from designing the initial experiments and validating results to owning the "last-mile" work of deployment.
In this role, you will:
  • Extract Insight from Unique Data: Work with massive, proprietary datasets that represent the breadth of human experience, including long-form unstructured interviews, large-scale polls, and passively collected behavioral data.
  • Master the Hardware: Write code for the latest NVIDIA chips. You will be responsible for running high-stakes experiments on GPUs and staying at the forefront of modern language model training and fine-tuning methodologies.
  • Lead Scientific Discovery: Design rigorous evaluations and conduct experiments that go beyond standard benchmarks to prove the fidelity of our behavioral simulations.
  • Push the State-of-the-Art: Stay immersed in the latest developments in simulation research. You will frequently reproduce, critique, and improve upon existing academic papers, maintaining a high standard for academic-quality writing and documentation.
  • Own the Lifecycle: Bridge the gap between a research hypothesis and a production-ready model, ensuring that our "flight simulators" for society are grounded in statistical truth.

Requirements
Must Haves
  • ML Proficiency: High proficiency in Python and hands-on experience with modern ML frameworks and AI coding tools.
  • Experimental Rigor: Experience running experiments on GPUs and a deep understanding of the training/fine-tuning lifecycle for large-scale models.
  • Research Literacy: Ability to navigate the frontier of ML research, with the technical skill to reproduce complex papers and the writing skill to document new breakthroughs.
  • End-to-End Ownership: A desire to own the full stack of research, from the first line of data processing code to the final deployment in a production environment.

Nice to Haves
  • Academic & Technical Foundation: An academic background in Computer Science, Math, Statistics, Deep Learning, Computational Social Science, or a related field.
  • Interdisciplinary Expertise: Experience in social science modeling or behavioral economics.
  • Large-Scale Systems: Familiarity with distributed training and optimizing inference for multi-agent environments.

Compensation & Benefits
At Simile, we provide competitive compensation packages that include base salary, equity, and comprehensive benefits.
  • Salary Range: $200,000 - $400,000 USD
    • Note: Final offers are based on experience, specialized skills, interview performance, and relevant training.
  • Equity: Grants are available for eligible roles, subject to board approval.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage.
  • Time Off: Flexible time off policies to support work-life balance.

Our Process
We prioritize thoughtful conversations and clear examples of past work. Our hiring journey is designed to help both sides align on fit, working style, and expectations.
Reapplication Policy: To ensure a fair and thorough evaluation for all applicants, Simile observes a 90-day waiting period before reconsidering candidates for the same role.
Commitment to Diversity & Inclusion
Equal Opportunity: Simile is an equal opportunity workplace. We welcome applicants of all backgrounds and identities, valuing an environment where everyone can contribute authentically.
Accommodations: If you require support or reasonable accommodations during the application process due to a disability, please let us know. We are happy to assist.

Apply