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Remote Biomedical Engineer Jobs in Georgetown, TX

Baasi

ML Engineer - Austin, TX

Austin, TX · On-site +1

About the job ML Engineer - Austin, TX About Us We are a stealth-mode startup building next ... Competitive compensation, equity potential, and flexible remote work.

Tekwissen

AI/ ML Engineer

Austin, TX · On-site +1

Remote / Hybrid About the Role We are looking for an engineer who is genuinely excited about AI - not someone who tolerates it as a tool, but someone who wakes up thinking about what they can build ...

W&M Environmental Group

Senior Engineer - Wind

Austin, TX · Remote

$93K - $140K/yr

Braun Intertec is seeking a highly motivated Senior Engineer to join our Renewable Energy and ... Ability to travel up to 10% of time. #LI-MB1 #LI-Remote Compensation Range: $93,600.00 - $140,400 ...

Talroo

Software Engineer 2026

Austin, TX · On-site +1

Talroo Inc. seeks Software Engineer for its office in Austin, TX Key job responsibilities: * Design ... chat/remote support * Debugging existing code to identify and eliminate errors * Developing ...

Travis County, TX

Engineer Sr. (Traffic)

Austin, TX · On-site +1

$115K - $140K/yr

... Remote Employment: Flexible/Hybrid Job Number: 26-10435 Department: TNR (Trans & Natrl Resrc ... Continuous Job Summary This position is assigned to the Traffic Engineering specialized program ...

FRINGE BENEFIT GROUP

SOFTWARE ENGINEER

Austin, TX · Remote

job overview The Software Engineer is a mid-to-senior, full-stack engineer responsible for ... Hybrid onsite in Austin, TX and remote Fringe Benefit Group provides equal employment opportunities ...

De Circle

Etherialize - Applied AI Engineer

Austin, TX · On-site +1

We all know that software engineering is getting turned on its head. It's easy to pop open Claude ... across remote environments. This role is likely not a fit if you are primarily interested in:

The Helper Bees

Software Engineer

Austin, TX · On-site +1

$130K - $150K/yr

A remote-first environment across the U.S. supported by intentional, periodic travel for team ... junior engineers with equal clarity. * Experience with the following (or equivalents): Python ...

The Helper Bees

Software Engineer

Austin, TX · Remote

$130K - $150K/yr

A remote-first environment across the U.S. supported by intentional, periodic travel for team ... junior engineers with equal clarity. * Experience with the following (or equivalents): Python ...

Crowe LLP

Senior AI Engineer

Austin, TX · On-site +1

$103K - $142K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. About the Role Role Overview: The Senior AI Engineer 1 (Senior ...

Qvest US

Senior Engineer

Austin, TX · On-site +1

$103K - $142K/yr

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Senior Engineer

Austin, TX · On-site +1

$80K - $400K/yr

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Civitech

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... The Analytics Engineer will turn raw voter, district shape, and product data into clean, well ...

Gyde.ly

Software Engineer

Austin, TX · On-site +1

$175K - $250K/yr

Software Engineer Austin, Texas, United States, New York, New York, United States About Us ... Remote, or Hybrid Work in Austin or NYC * Medical, Dental, and Vision benefits for you and your ...

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All JobsBiomedical Engineer JobsRemote Biomedical Engineer JobsRemote Biomedical Engineer Jobs in Georgetown, TX

Remote Biomedical Engineer information

See Georgetown, TX salary details

$38.1K

$88.1K

$130.1K

How much do remote biomedical engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote biomedical engineer in Georgetown, TX is $88,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $107,800.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote biomedical engineers, and how can they be addressed?

Remote biomedical engineers often encounter challenges such as limited hands-on access to equipment, coordinating with geographically dispersed teams, and ensuring effective communication with stakeholders. To address these, engineers rely on virtual collaboration platforms, detailed documentation processes, and proactive engagement with both technical and non-technical colleagues. It's important to develop strong time-management habits and seek regular feedback to stay aligned with project goals. As remote work becomes more common, employers are increasingly providing advanced digital tools and resources to help remote biomedical engineers stay productive and connected.

What is a Remote Biomedical Engineer job?

A Remote Biomedical Engineer designs, develops, and maintains medical devices and healthcare technology while working from a remote location. They collaborate with healthcare professionals, manufacturers, and research teams to ensure the safety and efficiency of biomedical equipment. Responsibilities may include troubleshooting medical devices, conducting virtual testing, and ensuring regulatory compliance. Remote Biomedical Engineers use digital tools to analyze data, provide technical support, and contribute to advancements in healthcare technology. This role requires strong problem-solving skills, technical expertise, and effective communication to work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive in the Remote Biomedical Engineer position, and why are they important?

To thrive as a Remote Biomedical Engineer, you need a degree in biomedical engineering or a related field along with solid analytical, problem-solving, and project management skills. Familiarity with CAD software, medical device regulations (such as FDA or ISO standards), and experience with remote collaboration tools are highly beneficial. Excellent written and verbal communication, self-motivation, and adaptability are critical soft skills for working effectively without direct supervision. These abilities enable successful design, troubleshooting, and support of biomedical devices while collaborating remotely across multidisciplinary teams and meeting regulatory requirements.

What are the most commonly searched types of Biomedical Engineer jobs in Georgetown, TX? The most popular types of Biomedical Engineer jobs in Georgetown, TX are:
What are popular job titles related to Remote Biomedical Engineer jobs in Georgetown, TX? For Remote Biomedical Engineer jobs in Georgetown, TX, the most frequently searched job titles are:
What cities near Georgetown, TX are hiring for Remote Biomedical Engineer jobs? Cities near Georgetown, TX with the most Remote Biomedical Engineer job openings:
Remote Biomedical Engineer jobs near you
Infographic showing various Remote Biomedical Engineer job openings in Georgetown, TX as of June 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $88,087 per year, or $42.3 per hour.

ML Engineer - Austin, TX

Baasi

Austin, TX • On-site, Remote

Other

Posted 17 days ago

Job description

About the job ML Engineer - Austin, TX
About Us
We are a stealth-mode startup building next-generation infrastructure for the AI industry. Our mission is to make advanced language models portable, efficient, and customizable for real-world deployments. We're building tools that allow vendors to fine-tune models easily and deploy them securely on diverse hardware.
Role
We are seeking a AI ML Engineer (Python) to help design and implement our AI Pipelines. This is not an academic research role - you will be productizing and automating existing fine-tuning techniques (LoRA/QLoRA) so vendors can train and manage their own adapters with minimal effort.
You'll work closely with backend engineers (Node.js) who orchestrate jobs and dashboards, while you focus on the training pipelines and adapter export logic.
Responsibilities

  • Implement and maintain LoRA/QLoRA fine-tuning pipelines using PyTorch + Hugging Face Transformers + PEFT.
  • Develop logic for incremental training and adapter stacking, producing clean, versioned "delta packs."
  • Automate data preprocessing (tokenization, formatting, filtering) for user-supplied datasets.
  • Build training scripts/workflows that integrate with orchestration backends (Node.js, REST/gRPC, or job queues).
  • Implement monitoring hooks (loss curves, checkpoints, eval metrics) to feed into dashboards.
  • Collaborate with DevOps to ensure reproducible, portable training environments.
  • Write tests to guarantee reproducibility and correctness of adapter outputs.
  • Willingness to occasionally be present in the office for discussions and team collaboration.
Requirements
  • Strong programming skills in Python.
  • Hands-on experience with PyTorch and the Hugging Face ecosystem (Transformers, Datasets, PEFT).
  • Familiarity with LoRA/QLoRA or parameter-efficient fine-tuning methods.
  • Understanding of mixed precision training (FP16/BF16) and memory optimization techniques.
  • Experience building training scripts that are production-ready (reproducibility, logging, error handling).
  • Comfortable working in Linux GPU environments (CUDA, ROCm).
  • Ability to collaborate with backend/frontend engineers who are not ML specialists.
Nice to Have
  • Experience with bitsandbytes, xformers, or flash-attention.
  • Familiarity with distributed training (multi-GPU, NCCL, DeepSpeed, or Accelerate).
  • Prior work in MLOps or packaging ML pipelines for deployment.
  • Contributions to open-source ML libraries.
Why Join
  • Build the core training product that lets vendors adapt models safely and efficiently.
  • Focus on product engineering, not open-ended research.
  • Collaborate with a lean, highly technical team at the intersection of AI and systems.
  • Competitive compensation, equity potential, and flexible remote work.

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