Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess at least 1-3 years of experience in model training, deployment, and maintenance within a production environment, along with a strong foundation in NLP, LLMs, and deep learning, and experience with algorithms, data structures, and object-oriented programming. A solid background in a cloud technology stack such as AWS or GCP, and experience building products with LLMs, including knowledge of evaluation, experimentation, and model optimization, are also required. Candidates ideally hold a PhD or Masters degree in Computer Science or a related field.
Responsibilities
As a Machine Learning Engineer, you will train state-of-the-art models in production to solve problems for enterprise customers, collaborate with product and research teams to identify service opportunities, explore integrating human feedback into product lines, create techniques for integrating tool-calling into LLMs, and work closely with customers to prototype and build deep learning models for multi-modal content understanding problems.
Skills
NLP
LLMs
Deep Learning
Algorithms
Data Structures
Object-Oriented Programming
Cloud Computing
AWS
GCP
Model Training
Model Deployment
Model Maintenance
Product Development
Experimentation
Tool-Calling
Multi-modal Content Understanding
Scale AI
AI platform for data and models
About Scale AI
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.
San Francisco, CaliforniaHeadquarters
2016Year Founded
$1,558.9MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees
Benefits
Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.
Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.
Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.
Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.
Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.
Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.
Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.
Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.
Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Risks
Legal issues over labor practices could harm Scale AI's reputation and financial standing.
Controversial stance on DEI may deter potential talent and partnerships, affecting growth.
Expansion in San Francisco could increase operational costs amid uncertain economic conditions.
Differentiation
Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.
The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.
Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.
Upsides
Growing demand for AI data annotation boosts Scale AI's market potential and client base.
Expansion into defense applications opens new revenue streams and strategic partnerships.
Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.
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