Machine Learning Engineer II
Description
- Designs, develops, and deploys machine learning models for real-world applications.
- Builds scalable pipelines for data ingestion, pre-processing, training, and inference.
- Owns end to end development of machine learning algorithms including data analysis, feature engineering, model development, training, validation, and performance evaluation.
- Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search/retrieval systems.
- Builds data ingestion and embedding pipelines for efficient indexing and retrieval.
- Fine-tunes and adapts LLMs for domain-specific tasks such as instruction tuning, prompt engineering, low-rank adaptation (LoRA), etc.
- Engages in both engineering and research, exploring latest ML algorithms, solution architectures, and cutting-edge approaches to improve retrieval and generation performance.
- Works with stakeholders to translate business requirements into robust technical solutions that deliver measurable impact.
- Works with engineering teams to continuously scale and advance machine learning across the organization.
- Identifies new opportunities of applying ML technology to improve business workflows and processes.
- Builds a deep understanding of the company’s products, services, data, and customers to deliver impactful solutions.
- Performs other related duties and projects as business needs require at direction of management.
- Master’s degree in Machine Learning, Deep Learning, or a computer science-related field. PhD preferred.
- Minimum three (3) years of relevant work experience in the areas below, or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved:
- Understands fundamental concepts, practices, and procedures of machine learning field.
- Data discovery, data aggregation, and feature engineering with SQL query writing skills.
- Training, evaluating, optimizing, deploying, and maintaining machine learning models on production systems.
- Logging, tracking, A/B testing, evaluating and analyzing the performance of different machine learning algorithms and models in production.
- Strong development skills in Python programming language and have experience in developing data-driven, scalable, and reliable applications with Amazon Web Services (AWS).
- Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, customer segmentations/clustering, and object detection.
- Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras.
- Experience working with relational, non-relational, and high-scale data processing and storage frameworks like Structured Query Language (SQL), AWS RedShift, Aurora, S3, DynamoDB, MySQL, PostgreSQL.
- Experience with AWS Serverless architecture and AWS native services like BedRock, EC2, Lambda, Step Functions, SageMaker, Rekognition, Comprehend, Lex/Polly, and Transcribe.
Pay Range: $121,108.84.84 - $146,000/YR
ABOUT US
ORB Innovations is a London-based startup making waves in the world of contact and combat sports. With a passion for innovation, ORB makes Smart Mouthguards that protect athletes teeth AND track their fitness, performance and wellness, providing valuable data to help them train smarter and push further... What's a Smart Mouthguard? Imagine a Fitbit, in a mouthguard!
ORB's products are the first and only of their kind, from heart-pumping beats to head-turning impacts, we've got these athletes covered with a wearable that's tailored to their sport.
Founded in 2017, ORB has spent over 5 years tirelessly working to bring this groundbreaking technology to market. Now, as ORB expands its team, join us in bringing the future of sports technology to athletes everywhere.
THE INTERVIEW PROCESS
Our process involves three stages:
- Resume Review & Short List.
- Initial Call (Depending on the role, a take home task may also be requested).
- Final Interview.
Our average process takes approximately 2-3 weeks, but we always work around your availability.
You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during your application, please contact us at [email protected].
WHAT'S IN IT FOR YOU
We're a hardware enabled sports analytics startup with an expanding passionate team, collaborating and creating extraordinary physical & digital products that have the potential to make a significant difference to our customers lives. If you love sports and technology, this is where the two meet!
There are loads of ways we help ORB-ians do the best work. We often review and enhance our benefits, but here's a brief overview of what we offer right now. If you'd like more information on any of them, just ask!
You can see a full list of employee benefits at https://orbsport.com/pages/careers.
EQUAL OPPORTUNITY STATEMENT
We are actively creating an equitable environment for every ORB-ian to thrive.
One of our priorities is to promote diversity and inclusion, ensuring that we provide ample support for all our employees to grow within the company. Embracing diversity in all its forms and fostering an inclusive environment are essential to our ethos.
As an equal opportunity employer, we consider all applicants for employment without any bias based on ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability status.