Senior Machine Learning Engineer
@ Loka

Hybrid
$150,000
Hybrid
Full Time
Posted 23 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @loka.com
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Job Details

About the Role

At Loka, a globally distributed tech consultancy based in Silicon Valley, our Senior Machine Learning Engineer plays a pivotal role in designing and implementing machine learning solutions across diverse projects. Your expertise in ML algorithms, deep learning, and foundation models will drive robust, scalable systems and continuously elevate our ML capabilities.

Responsibilities

  • Take full responsibility for tasks and projects ensuring accountability.
  • Develop models aligned with business objectives and track metrics.
  • Design and implement complex ML systems using classical ML, deep learning, and foundation models.
  • Lead client communications, gather requirements and manage expectations.
  • Wrangle, explore and visualize data, identifying cleaning or distribution issues.
  • Analyze model errors and develop strategies to overcome them.
  • Deploy, maintain and upgrade ML models and pipelines.
  • Drive architectural decisions and contribute to high-level planning and strategy.
  • Mentor junior ML engineers and collaborate with cross-functional teams.
  • Continuously optimize models for performance, scalability, and cost-effectiveness in an AWS environment.
  • Stay updated with industry trends and maintain technical documentation.

Required Hard Skills

  • 4+ years of ML engineering experience
  • Bachelor’s degree in Computer Science or related field
  • Experience with Python, ML libraries and frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
  • Building GenAI solutions using LLMs and frameworks like LangChain and LlamaIndex
  • Familiarity with containerization and orchestration tools

Additional & Soft Skills

  • Excellent English proficiency
  • Curiosity, autonomy, and positive teamwork
  • Adaptability with a startup mindset

Benefits

  • Every other Friday off (26 extra days annually)
  • Fully remote and flexible work options
  • Explore and Relocation programs including international opportunities
  • Paid sick days, local holidays, and mental wellness programs
  • Access to LokaLabs™, defined career path, and continuous learning support
  • Business English classes

Key skills/competency

  • Machine Learning
  • Deep Learning
  • Foundation Models
  • Python
  • AWS
  • Client Communication
  • Data Visualization
  • Mentorship
  • Deployment
  • Scalability
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How to Get Hired at Loka

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant ML expertise.
  • Research Loka's culture: Understand remote global collaboration.
  • Emphasize technical projects: Showcase AWS and ML deployments.
  • Prepare for client discussions: Be ready with past project examples.

📝 Interview Preparation Advice

Technical Preparation

Review ML algorithms and architectures.
Practice Python and deep learning frameworks.
Test AWS deployment and containerization tools.
Brush up on GenAI solution techniques.

Behavioral Questions

Describe a past project challenge.
Explain teamwork in remote settings.
Discuss client communication experiences.
Share a situation showing adaptability.

Frequently Asked Questions