Lead Machine Learning Engineer – GenAI, Multimodal Systems

13 hours ago

Apply Now
Logo of Truelogic Software

Truelogic Software

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

📋 Description

• Architect, develop, and deploy multimodal generative AI systems (text-to-image, image-to-text, text-to-video, audio-visual models). • Lead implementation of vision architectures including diffusion models, vision transformers, and multimodal embedding frameworks. • Design and optimize systems integrating LLMs with visual and audio modalities. • Build scalable multimodal retrieval systems using vector databases and similarity search. • Develop end-to-end pipelines for text generation, image synthesis, video generation, and audio/speech synthesis. • Mentor and lead ML engineers and data scientists. • Collaborate with cross-functional teams to translate complex requirements into scalable AI solutions. • Build and maintain Python libraries and internal ML tooling. • Communicate multimodal AI concepts effectively to technical and non-technical audiences.

🎯 Requirements

• 7+ years of ML engineering experience. • 2+ years specializing in generative AI or multimodal systems. • Proven experience deploying multimodal generative AI systems to production. • Strong expertise in diffusion models, vision transformers, and multimodal embeddings. • Hands-on experience with LLMs and integration with visual/audio modalities. • Experience building multimodal retrieval systems and working with vector databases. • Production experience across multiple generative modalities (text, image, video, audio/speech). • Leadership experience mentoring ML engineers/Data Scientists. • Advanced proficiency in PyTorch and HuggingFace (Transformers, Diffusers). • Experience with libraries such as Stable Diffusion, CLIP, timm, torchaudio, torchvision. • Strong Python engineering skills for ML tooling. • Excellent communication skills.

🏖️ Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Apply Now

Similar Jobs

October 23

Senior Machine Learning Engineer developing AI Solutions at Arionkoder's AI Labs team. Collaborating on LLM automations and cutting-edge technology for digital products.

AWS

Python

September 10

Senior ML Engineer building and deploying personalization and ranking models to optimize content discovery and revenue at Launch Potato remotely in LATAM

Python

PyTorch

Ray

Spark

Tensorflow

September 9

Lead ML Engineer building recommendation systems for Launch Potato's media portfolio. Scale real-time personalization serving 100M+ predictions daily, improving engagement and revenue.

Amazon Redshift

BigQuery

Python

PyTorch

Ray

Spark

SQL

Tensorflow

September 9

Lead ML Engineer building scalable ML systems to optimize ad targeting and revenue for Launch Potato's digital media brands.

AWS

Cloud

ETL

Google Cloud Platform

Python

PyTorch

Ray

Spark

SQL

Tensorflow

September 8

Lead 3–5 ML engineers to architect large-scale personalization, drive model quality, and contribute 50% hands-on coding at Launch Potato.

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com