Senior Machine Learning Engineer at TextUs

TextUs is an award-winning provider of SMS cloud communications with managed CRM and ATS integrations. Instead of waiting days for an email response, our real-time communication combines conversational text messaging, cloud-voice service and personalized automation to help our customers connect with people in real time and build better relationships.

OVERVIEW

The data team at TextUs is helping the business solve challenging problems by discovering actionable insights in the universe of data we have across the company.  We want to leverage state of the art data science tools and techniques to help foster an environment of data-based decision making.  This work has the potential to unlock serious growth opportunities across the business and will be impactful from business operations to product development.  This group is responsible for developing the algorithms, building and optimizing models, and productionizing the necessary data pipelines to power our ML and AI initiatives.  

WHAT YOU'LL DO

• Data Engineering & Pipeline Support:
  • Design and develop data pipelines from a variety of internal and external sources.
  • Build, cleanse, and audit data pipelines to ensure high-quality, reliable outputs.
  • Collaborate with engineers and architects to implement robust data infrastructure.
  • Automate workflows and data processes, integrating third-party data sources and managing foundational schemas.
• Machine Learning & Data Science:
  • Build and deploy machine learning models, developing algorithms that improve over time.
  • Lead all phases of model development: data processing, feature selection, model training, testing, deployment, and monitoring.
  • Use machine learning, NLP, and other technologies to enhance engagement and optimize messaging.
  • Stay up-to-date with AI/ML advancements and share their potential applications with the team.
  • Educate internal and external stakeholders about emerging technologies and promote their practical use.
• Collaboration & Knowledge Sharing:
  • Partner with Product, Engineering, and Business teams to align on product features and integrate ML capabilities.
  • Train team members on using data and machine learning insights.
  • Establish cross-functional processes to incorporate data science into product development.
• Product & Business Insights:
  • Develop user metrics and benchmarks that lead to improved engagement and best practices.
  • Identify key KPIs and design experiments to validate our product developments and business outcomes.
  • Build and maintain analytics dashboards to deliver actionable insights to customers and internal teams.
• Thought Leadership & Innovation:
  • Serve as a thought leader, driving innovation in data-driven capabilities and planning for future advancements.
  • Communicate complex data science concepts in ways that everyone can understand.

WHO YOU ARE

• Experienced Professional:
  • You probably have around 5 years of experience using statistics and machine learning algorithms for several different applications. Or maybe you have a little less practical experience but have other passions and skills that make you the ideal candidate for us to talk to.
  • Proven track record in production environments, including building and improving ML models.
• Technically Proficient:
  • Skilled in programming languages like Python, R, or Scala.
  • Experience fine-tuning Large Language Models (LLMs) for domain-specific applications.
  • Familiar with frameworks like PyTorch or TensorFlow and cloud platforms for hosting models.
• Data Savvy:
  • Proficient with data technologies such as Spark, Presto, Hive, or Hadoop for analyzing large datasets.
  • Solid understanding of data modeling for relational databases, data warehouses, and SQL.
  • Able to translate complex data requirements and facilitate collaboration across teams.
• Excellent Communicator:
  • You excel at distilling complex data analytics and machine learning insights for both technical and non-technical stakeholders.
  • Skilled at presenting data, creating visualizations, and communicating insights to drive informed decision-making.
• Agile Mindset:
  • Experience working within Agile or Lean frameworks.
  • Able to incorporate data science into iterative development processes for continuous product improvement.
• Collaborative Team Member:
  • Passionate about delivering customer value and building strong relationships with stakeholders.
  • You know when to step in to support the team and when to step back to let others shine.
• Lifelong Learner:
  • You’re always learning and staying updated with the latest in AI and machine learning.
  • You enjoy teaching and helping others grow.

EMPLOYMENT DETAILS

• Job Type: Full time
• Compensation Range: $170,000 - $180,000
• Location: Remote (US) / Headquartered in Denver, CO
• Target Start Date: 3 weeks from offer date
• # hires for this role: 1
• Reporting to: Engineering Manager

By submitting your resume for this role, you consent to communication via text and email

INTERVIEW PROCESS

• Initial call w. Recruiting Partner (30 mins via Phone)
  • Topics: Culture, logistics 
• Interview w. Hiring Manager (45 mins via Zoom Video)
  • Topics: Culture, skills, role overview
• Rembrandt Assessment
  • The Rembrandt assessment allows TextUs to assess how your personality fits within the role and the TextUs culture. 
• Technical Interview w. Team Engineers (60 mins via Zoom Video)
  • Topics: Technical problem solving within our tech stack and communication skills
• Interview w. Executive Leadership (30 mins via Zoom Video)
  • Topics: You will come prepared with questions about the role, team, product to ensure this role is the best fit for you.

WHY TEXTUS

Our Engineering Team is guided by high empathy and high responsibility. This means that we care about our engineers’ career trajectory and their thoughts on our product direction and implementation. Our engineers are trusted with autonomy: the latitude in how and when work gets done. We are a collaborative, learning, and data-driven culture with an experienced and proven leadership team.

TEXTUS BENEFITS INCLUDE

• Competitive pay
• Health / Dental / Vision Insurance
• HSA contributions
• 401K with company match
• Unlimited PTO
• Cell phone + internet reimbursement for $100/month.
• One-time $1,000 home office stipend once you’ve been with TextUs for 6 months
• Up to 12 weeks of Family & Medical Leave 
• 2024 Holiday Schedule link here
• U.S. remote first with optional WeWork office space in downtown Denver, CO

TextUs does not discriminate based on race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. We are committed to providing an inclusive and welcoming environment for all members of our staff, volunteers, subcontractors, vendors, and clients.