Senior Machine Learning Engineer

WLEN WorldJobs LLP; San Francisco (CA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

WLEN WorldJobs LLP in San Francisco is seeking an experienced ML Engineer to develop multimodal AI solutions at enterprise scale.

You will collaborate with product teams to deploy LLM-powered applications, integrate AI services, and build robust MLOps pipelines across video, text, image, and audio data.

The ideal candidate has 4–8 years of production experience, strong Python, and fluency with PyTorch/TensorFlow, AWS, and LangChain.

Qualifications

• 4–8 years of production ML experience.
• Strong Python and production-quality code practices.
• Proficiency with PyTorch, TensorFlow, scikit-learn.
• Experience with LLMs and AI service APIs (OpenAI, Anthropic, Hugging Face).
• Cross-domain ML across NLP, CV, and audio.
• Cloud infra familiarity (AWS or GCP).

Responsibilities

• Develop multimodal ML solutions processing video, text, imagery and audio at scale.
• Engineer and implement LLM applications using retrieval-augmented generation.
• Create content analysis and categorization models for media.
• Build discovery and search using vector embeddings and semantic matching.
• Develop audio processing and analysis workflows.
• Establish ML ops infrastructure including data pipelines and deployment services.
• Collaborate with product teams and clients on ML product innovation.
• Utilize cutting-edge AI tooling to accelerate development.
• Partner with clients to translate ambiguous needs into production ML solutions.
• Deliver rapidly in a fast-paced, high-priority environment.

Skills

PyTorch

TensorFlow

AWS

LangChain

Job description

Salary: Best in the Industry

Experience / Skills:
3 to 8 years of expereince, pytorch, tensorflow, aws, langchain

Job Description

We're a leading partner in social commerce, collaborating with major athletic wear, footwear, and electronics brands to expand their influencer-driven sales channels. Having achieved significant revenue milestones, we're rapidly expanding our technical team. Our mission is to create the ultimate platform connecting content creators with brands across major e-commerce ecosystems including video shopping platforms, social media marketplaces, and online retail channels.

We're developing critical infrastructure for the digital creator landscape and integrating artificial intelligence with enterprise-level brands and influencers. Your contributions will have immediate user impact—our customer base relies on our platform for their daily operations.

Develop multimodal ML solutions processing video content, textual data, imagery, and audio at enterprise scale

Engineer and implement large language model applications utilizing retrieval-augmented generation and AI service integrations

Create content analysis and categorization models for written and visual media

Build discovery and search capabilities using vector embeddings and semantic matching

Develop audio processing and analysis workflows

Establish ML operations infrastructure including data engineering pipelines, model deployment services, performance monitoring, and experimentation frameworks

Collaborate on ML/AI product innovation with product teams and clients

Utilize cutting-edge AI tooling to enhance development velocity

Partner directly with clients to transform ambiguous needs into production ML solutions

Deliver rapidly in a fast-paced, high-priority environment

Qualifications

Ideal Candidate Profile

4–8 years building and deploying production machine learning systems

Strong Python expertise with solid ML fundamentals and production-quality code practices

Proficiency with contemporary ML frameworks (PyTorch, TensorFlow, scikit-learn)

Production experience with large language models and AI service APIs (OpenAI, Anthropic, Hugging Face)

Cross-domain ML capabilities spanning natural language processing, computer vision, and audio

Product-oriented mindset identifying ML opportunities that enhance user experience and business outcomes

Familiarity with MLOps tooling and cloud infrastructure (AWS or GCP)

Self-directed and effective in ambiguous situations

Technical Expertise We're Seeking

Supervised/unsupervised learning, feature engineering, model evaluation, A/B testing

Neural architectures, transformers, convolutional networks, training optimization

Audio classification, automatic speech recognition, audio transcription

Semantic search, embedding models, vector similarity, multimodal retrieval

Cloud ML services: AWS (SageMaker, Bedrock) or GCP (Vertex AI), scalable inference

Why is This a Great Opportunity

Revenue-generating company addressing genuine market needs

Define ML strategy and infrastructure during growth phase

High autonomy with meaningful work, no trivial tasks

Influence both product and company direction

Tackle varied ML challenges across video, language, and audio domains

Direct input on product strategy, your ML concepts become shipped features

Comments

This is an urgent role

Responsive client

Open to H1B Visa transfer

No OPT candidates