ML Research Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
155K-196K Annually
Mid level
Information Technology
The Role
The ML Research Engineer will develop and implement advanced AI solutions focusing on LLMs, computer vision, and generative AI. Responsibilities include conducting independent research, optimizing training pipelines, model deployment in constrained environments, and collaborating with teams to translate research into practical applications.
Summary Generated by Built In

Location: Flexible — Remote or hybrid options available within the following states: Arizona, California, Colorado, Florida, Idaho, Michigan, Missouri, Nevada, South Carolina, Texas, or Washington.
Company Overview:
Accretive Technology Group is an established, fast-paced web company based in the heart of Seattle searching for world-class talent for a variety of tech-based careers. We are a market leader in web-based live video streaming with over 20 years in the industry. In ATG's R&D Department, Lively Video, our specialty lies in offering a video streaming platform tailored for clients who aim to provide immersive real-time experiences to their users. Join us in shaping the future of streaming services with your expertise and passion for innovation.
About the Role
We're seeking an ML Research Engineer to work at the intersection of research and engineering, focusing on developing and implementing cutting-edge AI solutions. The ideal candidate will excel at translating complex research into deployable, business-impacting solutions while advancing our capabilities in large language models (LLMs), computer vision, and generative AI, with particular emphasis on optimizing models for resource-constrained environments.
The ideal candidate will thrive in a research-driven environment, work independently to pursue novel ideas, and have the engineering expertise to implement solutions at scale. We particularly value experience in optimizing and deploying models in resource-constrained environments. We seek individuals who can balance theoretical understanding with practical implementation and are passionate about pushing the boundaries of what's possible in AI.
Core Responsibilities:

  • Drive independent research initiatives in natural language processing and computer vision, with a focus on LLMs and image-generation models
  • Design and implement novel architectures for model fine-tuning and adaptation
  • Develop and optimize training pipelines for both foundation models and domain-specific applications
  • Optimize models for deployment in resource-constrained environments (edge devices, browsers, embedded systems)
  • Collaborate with developers to design and guide the creation of robust tooling for model interaction, including interfaces for classification, data annotation, and model evaluation
  • Work with infrastructure teams to develop scalable systems for model deployment and monitoring
  • Contribute to the company's intellectual property through patent applications
  • Conduct rigorous experimentation to advance our understanding of model behaviors
  • Collaborate with product teams to translate research insights into practical applications

Required Qualifications:

  • MS/PhD in Computer Science, Machine Learning, or related field, or equivalent experience
  • Demonstrated expertise in training and fine-tuning large language models
  • Strong background in generative AI architectures
  • Experience with distributed training systems and optimization techniques
  • Experience with model optimization and deployment in resource-constrained environments
  • Proven track record of independent research, evidenced by technical blog posts, projects, or patents
  • Experience building tools and interfaces for model interaction and evaluation

Technical Skills:

  • ML Frameworks: PyTorch (primary), TensorFlow, ONNX
  • Model Optimization: TensorFlow Lite, ONNX Runtime, model quantization, pruning
  • Edge Deployment: WebGL, WebAssembly, TensorFlow.js, ONNX.js
  • ML Libraries: Transformers, Diffusers
  • Infrastructure: Cloud platforms (AWS/GCP/Azure), Kubernetes, Docker
  • ML Tools: Experiment tracking platforms (e.g., Weights & Biases, MLflow)
  • Programming: Polyglot
  • Distributed Training: Experience with distributed training frameworks and optimization

Research Areas of Focus:

  • Parameter-efficient fine-tuning methods (LoRA, QLoRA)
  • Multi-modal model architectures
  • Model compression, quantization, and optimization for constrained environments
  • Edge deployment strategies and optimization techniques
  • Prompt engineering and zero-shot learning
  • Diffusion model optimization
  • Ethical AI and responsible deployment
  • Vector databases and similarity search
  • Model evaluation and analysis tools

What We Offer:

  • Autonomy to pursue research directions that interest you
  • Access to diverse deployment environments for experimentation

Company Benefits/Perks:

  • Employer-paid Medical, Dental, and Vision benefits
  • Life & Disability Insurance Coverage
  • Health Care FSA
  • Day Care FSA
  • Tradition and Roth 401(k) with a 50% contribution match (no limit)
  • Generous Vacation and PTO plan
  • Paid Holidays
  • Semi-Annual Profit Sharing
  • Gym/Equivalent Exercise Program Reimbursement
  • $175 Transportation Reimbursement ($100 of this may be used for home internet for remote and hybrid employees)
     

A reasonable, good-faith estimate of the minimum and maximum base salary for this position is $155,000-$196,000. This position will also include a profit sharing that is dependent on a variety of factors.
Employment opportunities and job offers at Accretive Technology Group will always come from Accretive Technology Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Accretive Technology Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Accretive Technology Group will never send you money or request you return any money back to our company for any reason. Our email domain is @accretivetg.com. The official website to find and apply for job openings at Accretive Technology Group is https://accretivetg.com/ 

Accretive Technology Group is an Equal Employment Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, or national origin.

  • Unfortunately, we do not provide visa sponsorship, visa transfer, or corp-corp arrangements.
  • Agencies - NO unsolicited submissions will be accepted and if any Agency does submit an unsolicited candidate that Agency shall have no recourse from Accretive Technology Group.

Top Skills

PyTorch
TensorFlow
The Company
HQ: Seattle, WA
241 Employees
On-site Workplace
Year Founded: 1997

What We Do

As a leader in building streaming, web based video chat systems, we are seeking to attract and hire the best and brightest technical staff to improve and expand on our services. If you want to be part of a dynamic team and make a noticeable impact on our ongoing projects,then this is the place to be.

We offer a competitive salary, 100% employer paid medical, vision and dental insurance, 401(k) with 50% match, subsidized transportation passes/parking, and a profit sharing program with no vesting period. Additional perks include: catered lunches, company paid trips to exotic locales, Bagel/Fruit Fridays, monthly team events, family picnics, holiday dinners/parties and more.

Located in downtown Seattle, have been successful for more than 14 years, and employ 150 happy people.

___________________________________________________________________


We are building our teams with people who are aptly equipped to solve particular problems over the course of weeks, months, and years. We probably don't really care so much what your job title was at Amazon or Microsoft. Our job descriptions detail the types of problems you will be asked to solve in your role. And, it’s up to you to tell us why you’re going to kick butt at solving said problems.

Last, but certainly not least, we believe that smart and motivated people can learn just about anything, and quickly. When hiring, we search for smart.

Similar Jobs

Hop Labs Logo Hop Labs

Software Engineer, Machine Learning

Healthtech • Machine Learning
Remote
United States
7 Employees

Cash App Logo Cash App

Senior Machine Learning Engineer, Financial Crimes, Cash App

Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Remote
Hybrid
San Francisco, CA, USA
3500 Employees
139K-245K Annually

Workiva Logo Workiva

Staff Machine Learning Engineer

Artificial Intelligence • Cloud • Fintech • Professional Services • Software • Analytics • Financial Services
Remote
USA
2800 Employees
129K-207K Annually

Block Logo Block

Staff Machine Learning Engineer - Conversational AI

Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Remote
Hybrid
7 Locations
12000 Employees
168K-297K Annually

Similar Companies Hiring

Jobba Trade Technologies, Inc. Thumbnail
Software • Professional Services • Productivity • Information Technology • Enterprise Web • Consulting • Cloud
Chicago, IL
45 Employees
InCommodities Thumbnail
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees
HERE Thumbnail
Software • Logistics • Internet of Things • Information Technology • Computer Vision • Automotive • Artificial Intelligence
Amsterdam, NL
6000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account