Machine Learning Engineer

About Objective, Inc.

Our mission here at Objective is to make search human. We’re a search platform that empowers developers to add search that understands human intent to any web or mobile app. We power modern search experiences -- everything from retail search for companies like Pod Foods, to image search for companies like Dribbble, to article search for huge news sites like The Information. We power the developers that power the next generation of content relevancy.

We’re backed by Matrix Partners & Two Sigma Ventures, and our team are engineers and researchers from Apple, Google, Amazon (and other great companies) and have built some of the biggest ML & search systems in the world (that you’ve probably used!). Advances in AI and LLMs are changing the way the world searches, and Objective believes that powerful, modern AI-native search is a tool that should be in every developer’s toolbelt.

We’re a fully-remote company, and believe that we get the best out of each other when we have the flexibility that remote work gives us.

The Role

We are hiring a machine learning engineer to help us develop the next generation of content understanding, search and recommendation. As a key member of the team you will have the opportunity to take ownership over several areas of the product:

• Stay up to date with the latest academic and industry research, continuously learn and apply cutting-edge techniques relevant to our search and recommendation technology
• Develop efficient and effective algorithms for adapting machine learning models to specific use cases
• Run experiments to optimize quality of deep learning systems
• Systematically evaluate different approaches, build accuracy/performance reports and interpret their potential impact to our customer and business objectives
• Own machine learning experiments from initial idea to successful customer deployment

You’ll be joining as one of the key team members & will be critical to helping the team iterate and develop a product our customers love. This role is a great fit if you like moving quickly, can work across the stack when necessary and want a seat at the table making decisions about the future of the product & technology.

Who you are

• Taking pride in your work, paying attention to detail, and deeply caring about the user experience, keeping the customer at the forefront of every decision.
• Being compassionate and helpful to others, enjoying working across the stack, building APIs and UIs to achieve goals.
• Quickly hitting the ground running, mapping out challenges and opportunities, and developing short and long-term improvement plans.
• Demonstrating strong ownership, driving tasks to success regardless of prior experience, and navigating ambiguity to deliver exceptional results.
• Always seeking better ways of doing things, experimenting with new tools and processes.
• Forming meaningful relationships wherever you go, earning respect and likability by valuing others.
• Actively seeking continuous feedback and being willing to share feedback across all levels of the company.

Requirements & Skills

• MS or PhD in Machine Learning, Natural Language Processing, Computer Science or related fields
• 5-8 years experience as an Machine Learning Engineer
• Deep experience in deep learning, natural language processing and domain adaptation
• Understanding of unix, tcp/ip networking, storage system performance and concurrency
• You have demonstrated ability to quickly deliver project results in previous work
• Tech stack: Python, Go, Pytorch, Tensorflow, AWS technologies
• 5+ years of experience working with Python
• 5+ years of machine learning experience
• 3+ years working with cloud services (AWS, Lambda, RDS, S3, ECS/EC2, etc.)

Nice to have:

• Bonus points for experience working on search, recommendation or personalization products.
• Bonus points for experience with multimodal representation learning
• Bonus points for experience training LLMs

Additional Details:

• Must reside or work in the U.S. time zone, with a minimum requirement of PST+-3hrs.
• While we have an office in San Francisco, most of the team operates remotely.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Objective we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Objective provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.