Published: Wed, 15 Jan 2025 02:50:45 GMT
Position:
Software Engineer, AI Company:
Brave Salary:
$150,000 – $200,000 (Depends on Location, Market Rate and Experience) About Brave: Job Summary: Key Responsibilities: Optimize and deploy ML models in production environments. Develop software solutions with a strong engineering background in Python. Utilize PyTorch or other modern ML frameworks effectively. Address on-device LLM deployment challenges. Ship ML features in consumer applications. Work with model optimization and inference frameworks (e.g., ONNX Runtime, TensorRT, Core ML). Required Qualifications: 2 to 5 years of experience optimizing and deploying ML models in production environments. Strong software engineering background with production experience in Python. Extensive experience with PyTorch or other modern ML frameworks. Knowledge of on-device LLM deployment challenges and opportunities. Proven track record of shipping ML features in consumer applications. Experience with model optimization and inference frameworks (e.g., ONNX Runtime, TensorRT, Core ML). Preferred Qualifications: What We’re Looking For: What We Offer: The opportunity to shape the future of AI-powered browsing experiences. Work with cutting-edge technology and state-of-the-art ML tools. Competitive compensation with room for growth. Great international exposure and team atmosphere. Flexible work location with a preference for our London office. *While we prefer candidates who can work from our London office, we are open to remote candidates in compatible time zones. We offer flexible working arrangements to support a healthy work-life balance. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To apply, please submit your resume and cover letter to [contact email]. Apply link
#J-18808-Ljbffr
Position:
Software Engineer, AI Company:
Brave Salary:
$150,000 – $200,000 (Depends on Location, Market Rate and Experience) About Brave: Job Summary: Key Responsibilities: Optimize and deploy ML models in production environments. Develop software solutions with a strong engineering background in Python. Utilize PyTorch or other modern ML frameworks effectively. Address on-device LLM deployment challenges. Ship ML features in consumer applications. Work with model optimization and inference frameworks (e.g., ONNX Runtime, TensorRT, Core ML). Required Qualifications: 2 to 5 years of experience optimizing and deploying ML models in production environments. Strong software engineering background with production experience in Python. Extensive experience with PyTorch or other modern ML frameworks. Knowledge of on-device LLM deployment challenges and opportunities. Proven track record of shipping ML features in consumer applications. Experience with model optimization and inference frameworks (e.g., ONNX Runtime, TensorRT, Core ML). Preferred Qualifications: What We’re Looking For: What We Offer: The opportunity to shape the future of AI-powered browsing experiences. Work with cutting-edge technology and state-of-the-art ML tools. Competitive compensation with room for growth. Great international exposure and team atmosphere. Flexible work location with a preference for our London office. *While we prefer candidates who can work from our London office, we are open to remote candidates in compatible time zones. We offer flexible working arrangements to support a healthy work-life balance. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To apply, please submit your resume and cover letter to [contact email]. Apply link
#J-18808-Ljbffr
