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Remote Genetic Engineering Jobs in California (NOW HIRING)

KBR, Inc.

Remote Special Process Auditor

Torrance, CA · On-site +1

$51 - $56/hr

Collaborate with site resources, product engineering, and the Product Action Committees (PAC) to ... origin, veteran status, genetic information, union status and/or beliefs, or any other ...

KBR

Remote Special Process Auditor

Torrance, CA · Remote

$51 - $56/hr

Collaborate with site resources, product engineering, and the Product Action Committees (PAC) to ... origin, veteran status, genetic information, union status and/or beliefs, or any other ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable ... genetic information, physical or mental disability, military/ veteran status, or any other ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable ... genetic information, physical or mental disability, military/ veteran status, or any other ...

MatX

Rust Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

Strong engineering fundamentals - you write clean, well-tested, well-documented code and are ... This is a remote (with travel) or hybrid role based in Mountain View Bonus Points If You Have

ZEISS

Global Technical Escalation Engineer

Dublin, CA · On-site +1

This job can be Fully Remote, Anywhere USA. Salary rate based on location. SF Bay Area: $49.00 ... Work closely with global support and engineering teams to resolve technical issues and address ...

ZEISS

Global Technical Escalation Engineer

Dublin, CA · On-site +1

This job can be Fully Remote, Anywhere USA. Salary rate based on location. SF Bay Area: $49.00 ... Work closely with global support and engineering teams to resolve technical issues and address ...

MatX

Lead Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

We are seeking a hands-on engineering TLM to lead the Kernel team. You will manage, mentor, and ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

JF Retail Services

Software Engineer II

El Segundo, CA · On-site +1

$120K - $140K/yr

This position will report to the Sr Director, Engineering & QA - Evolve. What you will do: * Design ... Where We Are: * This role is remote-friendly, with headquarters based in El Segundo, CA ...

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All JobsGenetic Engineering JobsRemote Genetic Engineering JobsRemote Genetic Engineering Jobs in California

Remote Genetic Engineering information

What are the key skills and qualifications needed to thrive as a remote genetic engineer?

To thrive as a Remote Genetic Engineer, you need a solid background in molecular biology, genetics, and biotechnology, typically supported by an advanced degree in a related field. Familiarity with bioinformatics tools, CRISPR/Cas9 systems, and data analysis software is essential for conducting and interpreting genetic experiments remotely. Strong problem-solving, self-motivation, and effective virtual communication skills help in collaborating with distributed teams and managing independent projects. These competencies are crucial for ensuring accurate research outcomes and seamless teamwork in a remote, technology-driven environment.

What is remote genetic engineering?

Remote genetic engineering refers to the process of manipulating or editing genes in organisms from a distance, often using digital tools, cloud-based platforms, and automated laboratory equipment. This approach allows scientists and researchers to design experiments, analyze data, and even control lab robots without being physically present in the laboratory. Remote genetic engineering has become more feasible with advances in biotechnology, robotics, and secure data transmission, increasing accessibility and collaboration across the globe.

How do remote genetic engineering professionals typically collaborate with laboratory teams and manage hands-on experiments from a distance?

Remote genetic engineering professionals often work closely with on-site laboratory staff by leveraging digital collaboration tools, virtual lab management platforms, and detailed experiment protocols. They may design experiments, analyze data, and oversee project progress remotely, while on-site colleagues perform the physical lab work. Regular video meetings, shared cloud documentation, and real-time data monitoring help ensure clear communication and seamless project execution. This setup requires strong organizational skills and proactive communication to overcome challenges related to distance and time zones.
What are the most commonly searched types of Genetic Engineering jobs in California? The most popular types of Genetic Engineering jobs in California are:
What are popular job titles related to Remote Genetic Engineering jobs in California? For Remote Genetic Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Genetic Engineering jobs in California look for? The top searched job categories for Remote Genetic Engineering jobs in California are:
What cities in California are hiring for Remote Genetic Engineering jobs? Cities in California with the most Remote Genetic Engineering job openings:
Remote Genetic Engineering jobs near you

Machine Learning Infrastructure Engineer

Bright Vision Technologies

Sunnyvale, CA • Remote

$105K - $143K/yr

Full-time

Posted 10 days ago

Job description

Machine Learning Infrastructure Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Machine Learning Infrastructure Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $105,000–$143,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking a Machine Learning Infrastructure Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.
Preferred Qualifications
  • Open-source contributions to model serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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