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Remote Machine Learning Engineer Jobs in Renton, WA

Strong programming skills in at least one major ML language (e.g., Python, Scala, Java ) plus SQL ; writes clean, modular, maintainable code. * Technical Fluency: Strong programming skills in Python ...

Senior Machine Learning Scientist

Seattle, WA ยท On-site +1

$104K - $142K/yr

Partners closely with product, engineering, and operations while mentoring junior scientists and ... Our Machine Learning and Data Science team is growing. We are looking for a Senior Machine Learning ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

Intern - ML Engineering

Seattle, WA ยท On-site +1

$25 - $45/hr

... in Machine Learning and Data Science to join our diverse team. In this Hybrid or remote role, you ... Collaborate with engineers to integrate ML models into AI agents * Debug, optimize, and improve ...

... remote Who We Need We are seeking a highly motivated and talented Machine Learning PhD Intern to ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

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How much do remote machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote machine learning engineer in Renton, WA is $144,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $174,300.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in Renton, WA? The most popular types of Machine Learning Engineer jobs in Renton, WA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Renton, WA? For Remote Machine Learning Engineer jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Renton, WA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Machine Learning Engineer jobs? Cities near Renton, WA with the most Remote Machine Learning Engineer job openings:

Machine Learning Engineer (LLM)- E-commerce Risk Control

Tik Tok

Seattle, WA โ€ข On-site, Remote

$148K - $300K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Responsibilities
Team Introduction The E-Commerce Risk Control (ECRC) team is responsible for securing TikTok's global e-commerce platforms, such as TikTok Shop and Toko. We safeguard buyers, sellers, creators, and the ecosystem from fraudulent, abusive, or malicious behavior. Our mission is to make TikTok the safest and most trusted online marketplace worldwide. We achieve this through: - Advanced machine learning systems to detect and prevent evolving business risks (e.g., account takeovers, collusion, incentive abuse, brushing, click-farms); - A hybrid approach combining machine learning models, retrieval-augmented reasoning, and multi-agent decision-making systems; - Cross-functional collaboration with product, ops, security, and trust teams. What You'll Do - Develop and deploy machine learning models (supervised, unsupervised, hybrid) to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions. - Explore cutting-edge techniques including: - Retrieval-Augmented Generation (RAG) - LangChain-based agents for task decomposition and external knowledge integration - Design prompt engineering and reasoning workflows that connect structured features, risk indicators, and real-time LLM-based decisions. - Knowledge Distillation and BERT-style architectures - Build agentic workflows for complex cases, including modular task agents (e.g., structured data retrieval, open-source search, logical reasoning, decision reflection) orchestrated via a central controller agent. - Work with large-scale behavioral datasets to uncover fraud signals, design monitoring pipelines, and propose new feature generation strategies. - Collaborate with risk ops, product managers, and infra engineers to transform insights into scalable and explainable risk control strategies. Why Join Us - Work on real-world, high-impact challenges in global risk mitigation - Be part of a cutting-edge ML + LLM team shaping the future of risk intelligence - Enjoy a culture of autonomy, innovation, and cross-disciplinary collaboration
Qualifications
Minimum Qualifications -Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related technical field 2+ years of experience in delivering ML models in production environments -Strong coding skills in Python (preferred), and/or Java/C++ -Familiarity with risk control systems or anomaly detection in large-scale, real-time environments -Experience with LLM post-training applications , especially for agent-based systems -Strong communication skills, with the ability to explain technical solutions to non-technical partners Preferred Qualifications -PhD in Machine Learning, NLP, or a related field -Experience with: - RAG, LangChain, or other agentic LLM systems - Building explainable ML workflows with SHAP, LIME, or counterfactual analysis - Knowledge distillation, BERT, Transformer models - Graph-based modeling, graph neural networks, or similarity search - Background in e-commerce, financial fraud, or trust and safety is highly valued - Familiarity with LLM integration in decision systems is a strong plus
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $148200 - $300960 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at