Loka® Inc
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Loka® Inc. Skills: Machine Learning, MLOps, GenAI, LLMs. Understand statistical algorithms. Understand ML algorithms”
Industry & Context.
Analyze errors; Design strategies
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, 2+ years of ML engineering experience, Experience with Python, Experience with ML libraries, Experience with AI/ML frameworks, Excellent English
Nice to Have
Experience building GenAI solutions, Experience with prompt engineering, Experience with fine-tuning LLMs, Experience with serving LLMs, Experience with search and embeddings, Experience with MLOps, Experience with MLFlow, Experience visualizing big datasets, Experience manipulating big datasets, Experience with NLP, AWS Sagemaker experience, PhD preferred
What You'll Do.
Understand statistical algorithms
Understand ML algorithms
Understand deep learning algorithms
Design strategies to overcome errors
Maintain ML pipelines
How You'll Work.
Team & Collaboration
Globally distributed team; Collaborative approach
Communication Scope
Business English
Full Job Description
Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike. Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎) The Role Understanding of statistical, ML and deep learning algorithms Analyze errors of models and design strategies to overcome them Deploy, maintain, and upgrade ML models and pipelines Ambition to learn and grow into different industries with a modern tech stack Autonomy, adaptability and positivity (fully remote and globally distributed team) The Required Hard Skills Bachelor's Degree in Computer Science or related 2+ years of ML engineering experience Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.) Additional Requirements Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications CV written in English Bonus Points for Experience with… Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc. MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow) Visualizing and manipulating big datasets NLP The Required Soft Skills Curiosity—Ambition to learn and grow into different industries with a modern tech stack Autonomy and positivity—We’re a fully remote, globally distributed team Teamwork—Enjoy a collaborative approach Adaptability—Operate with a startup mindset and move at a startup pace The Benefits Every other Friday off (26 extra days off a year) Remote and flexible Explore and Relocation programs (three months work abroad or full international relo) Paid sick days and local holidays Business English classes program Continuous Learning Support Fitness and/or Mental Health Subscriptions Access to LokaLabs™, our internal research and development program Defined career path Your achievements matter to
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