Machine Learning Developer Salary at Trifork Bv BETA

About the job Why this matters AI is reshaping every industry—and semiconductor design is next. At Cognichip, you’ll work at the intersection of cutting-edge ML and hardware innovation, helping bring frontier models specialized for semiconductors into the hands of chip designers. From deploying optimized foundation models to building low-latency inference infrastructure, your work will define how engineers interact with intelligence. If you're excited to make research real and shape the future of design, this role is for you. What you'll do Fine-tune, evaluate, and deploy LLMs and foundation models for specialized chip engineering tasks. Build scalable inference systems, agentic workflows, and RAG pipelines to support intelligent, interactive design tools. Optimize model performance through batching, caching, quantization, and streaming to achieve sub-second latency. Collaborate closely with AI scientists to operationalize experimental techniques and deliver robust, production-grade sy

At Virtue AI we believe the future of AI is in our hands because its success will depend on our ability to keep it safe and secure. We're seeking an experienced Applied Machine Learning Engineer to champion our efforts in doing so. Virtue AI seeks an experienced applied ML engineer who is passionate about AI safety and security, is driven to deliver value, and make an impact. If you’re interested in working alongside an ambitious and a high-caliber team seeking to help ensure AI is secure and safe, come join us. At Virtue AI, we work hard and hold ourselves accountable to our work. Great outcomes demand sustained effort from exceptional individuals dedicated to ambitious goals. Position Overview As a Machine Learning and Security Engineer at Virtue AI, you will play a pivotal role in developing and implementing novel large models and algorithms for code guardrails. Your work will directly contribute to advancing our products and services and driving innovation within the industry. Resp

At Virtue AI we believe the future of AI is in our hands because its success will depend on our ability to keep it safe and secure. We're seeking an experienced Applied Machine Learning Engineer to champion our efforts in doing so. Virtue AI seeks an experienced applied ML engineer who is passionate about AI safety and security, is driven to deliver value, and make an impact. If you’re interested in working alongside an ambitious and a high-caliber team seeking to help ensure AI is secure and safe, come join us. At Virtue AI, we work hard and hold ourselves accountable to our work. Great outcomes demand sustained effort from exceptional individuals dedicated to ambitious goals. Position Overview As a Machine Learning and Security Engineer at Virtue AI, you will play a pivotal role in developing and implementing novel large models and algorithms for code guardrails. Your work will directly contribute to advancing our products and services and driving innovation within the industry. Resp

At Virtue AI we believe the future of AI is in our hands because its success will depend on our ability to keep it safe and secure. We're seeking an experienced Applied Machine Learning Engineer to champion our efforts in doing so. Virtue AI seeks an experienced applied ML engineer who is passionate about AI safety and security, is driven to deliver value, and make an impact. If you’re interested in working alongside an ambitious and a high-caliber team seeking to help ensure AI is secure and safe, come join us. At Virtue AI, we work hard and hold ourselves accountable to our work. Great outcomes demand sustained effort from exceptional individuals dedicated to ambitious goals. Position Overview As a Machine Learning and Security Engineer at Virtue AI, you will play a pivotal role in developing and implementing novel large models and algorithms for code guardrails. Your work will directly contribute to advancing our products and services and driving innovation within the industry. Resp

At Virtue AI we believe the future of AI is in our hands because its success will depend on our ability to keep it safe and secure. We're seeking an experienced Applied Machine Learning Engineer to champion our efforts in doing so. Virtue AI seeks an experienced applied ML engineer who is passionate about AI safety and security, is driven to deliver value, and make an impact. If you’re interested in working alongside an ambitious and a high-caliber team seeking to help ensure AI is secure and safe, come join us. At Virtue AI, we work hard and hold ourselves accountable to our work. Great outcomes demand sustained effort from exceptional individuals dedicated to ambitious goals. Position Overview As a Machine Learning and Security Engineer at Virtue AI, you will play a pivotal role in developing and implementing novel large models and algorithms for code guardrails. Your work will directly contribute to advancing our products and services and driving innovation within the industry. Resp

Job Title: ML Engineer Location: Hybrid Schedule for San Francisco Office location (Work Remotely Monday-Friday) About Us: Flashii App is a premier boutique Staffing Firm dedicated to helping clients find exceptional candidates who make a difference. We provide comprehensive staffing solutions, including project-based consulting and direct hire services. About the Company: The company provides a powerful suite of tools for businesses across the U.S, including identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Their mission is to help companies make informed decisions with confidence, powered by proprietary private databases. Job Overview: As a ML Engineer you will be responsible for leveraging LLMs to enhance company's business profiles with fragmented information that exists around the web. Requirements: 6-8+ years of experience in Machine Learning Engineering Traditional ML (Neural Nets, Classif

Title: CUDA Machine Learning Software Engineer Location: San Fransisco, CA Base Salary: $200,000-$270,000 A stealth-mode generative media startup—backed by top-tier venture firms—is building a new creative platform that merges multiple modalities including text, image, and audio to enable intelligent video generation. At the heart of this platform is a novel foundation model designed for deep cross-modal reasoning and expressive content creation. About the Role: We're looking for a CUDA Machine Learning Engineer to help optimize and scale our generative models for video. This role focuses on improving performance across GPU hardware for complex model architectures like 3DVAE and video diffusion systems. You’ll collaborate closely with researchers and infrastructure teams to push the limits of efficiency in large-scale training and real-time inference. What You’ll Do: Optimize video-focused ML models using CUDA, with attention to both training and inference speed. Identify and resolve G

The Machine Learning Engineer will expand and optimize the company's existing data infrastructure, collaborating with all functional areas of the business and will work across Analytics, Data Engineering and Software Engineering. The ML Engineer will: Collaborate with data scientists and analysts to operationalize ML models, streamline workflows, and maintain model reproducibility and versioning. Design, implement, and manage robust, scalable pipelines for analytics and machine learning, while ensuring seamless data ingestion, transformation, and accessibility. Maintain and optimize data storage solutions and query performance, prioritizing cost-efficiency and scalability within the Cloud Platform (GCP). Implement ML Ops best practices, including model CI/CD, feature store management, and metadata tracking. Automate routine analytics workflows and model lifecycle stages. Develop monitoring and alerting systems to ensure high reliability of ML pipelines and analytics dashboards. Drive i