Seekr Technologies Logo

Seekr Technologies

Artificial Intelligence (AI) Engineer

Posted 15 Days Ago
Remote
160K-220K
Mid level
Remote
160K-220K
Mid level
Design, implement, and deploy machine learning algorithms, manage algorithm lifecycle, and coordinate data efforts for large-scale applications.
The summary above was generated by AI

Location: Carlsbad, California OR Fully Remote

About the Opportunity: 

We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management). 

From your first day, you will make a valuable — and valued — contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to delight millions of consumers around the world while gaining meaningful experience across a variety of disciplines. 

Keywords: 

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction 

Duties and Responsibilities: 

  • Design, implement, and deploy machine learning algorithms. 
  • Manage machine learning algorithm lifecycle. 
  • Coordinate data collection and annotation efforts. 
  • Work with real-time data and content coming from various data sources. 
  • Manage machine learning data pipelines.  
  • Design tests for machine learning algorithm effectiveness and performance monitoring. 
  • Design tools and interfaces for interactive machine learning and teaching. 
  • Research and development on cutting-edge machine learning technologies. 

Qualifications and Skills: 

  • Graduate degree in Computer Science with a strong background in machine learning required. 
  • Strong problem-solving abilities, solid background in algorithms and data structures required. 
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus. 
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. 
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required. 
  • Experience with building and deploying API's with Docker and Kubernetes required. 
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required. 
  • Experience with Elastic Search, Lucene a plus but not required. 
  • Experience with ranking algorithms a plus but not required. 
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required. 

The US base salary range for this role is between $160,000 and $220,000 annualized plus bonus, equity value (where applicable) and benefits. Your base pay will depend on your experience, location, skills and qualifications.

About the Company:  

Seekr is a privately held artificial intelligence company that identifies, rates, and generates reliable content at scale. Seekr's trusted and responsible AI platform comprehensively and uniformly evaluates each piece of content individually against objective, transparent, and explainable standards. Seekr is committed to building a web that people can trust.

Our environment is fast paced, requiring the ability to work autonomously, and hands on from day one, with minimal supervision in an ever-changing environment. You will need to demonstrate excellent problem-solving skills. The right mix of organizational and communication skills will be the key to success. Attention to detail and a proven ability to manage priorities are also essential. We are looking for people ready to lead by example, be selfless in your leadership across teams, collaborate with your peers, and partner with colleagues and external partners.

Company Benefits:

  • Working with a smart and talented team to solve the big misinformation problems in news we currently face
  • Exciting and cutting-edge technologies at scale
  • 100% remote position - work from where you like
  • Highly competitive salary
  • Company investment in training, certifications, and your professional development
  • Company Bonus Plan
  • Employee Equity Program
  • 401k Retirement plan with matching
  • Medical, Dental and Vision Insurance for you and your family
  • Life Insurance / Disability
  • Unlimited PTO
  • 13 Paid Holidays
  • Employee Assistance Program

Top Skills

Docker
Elastic Search
Hadoop
Haskell
Java
Kafka
Keras
Kubernetes
Lucene
Python
PyTorch
R
Scala
Scikit-Learn
Spark
Spark Mllib
TensorFlow

Similar Jobs

3 Hours Ago
Remote
2 Locations
150K-220K Annually
Senior level
150K-220K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Design and maintain distributed systems infrastructure, including GPU clusters and network architectures. Implement monitoring and optimize storage solutions for AI/ML workloads.
Top Skills: Caching SolutionsContainer OrchestrationDistributed File SystemsGpu InfrastructureKubernetesNetworkingSlurm
5 Hours Ago
Remote
Hybrid
8 Locations
153K-270K Annually
Senior level
153K-270K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.
Yesterday
Remote
San Francisco, CA, USA
190K-306K Annually
Senior level
190K-306K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.
Top Skills: AWSDatabricksJavaPythonSparkSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account