Conga

Senior Machine Learning Engineer

Conga$133K — $213K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • At least 6 years of experience in building production-quality products
  • Bachelor's degree in Computer Science, Engineering, or equivalent
  • Proficiency with Python and essential libraries for machine learning
  • Experience with cloud technology platforms (AWS, Azure, etc.)
  • Solid understanding of ML fundamentals including supervised/unsupervised learning and deep learning

Responsibilities

  • Design, develop, and deploy machine learning models and AI features for production
  • Develop scalable ML infrastructure and services for high-volume workloads
  • Build and optimize ML pipelines for training, evaluation, and inference
  • Implement and fine-tune large language models (LLMs) for various applications
  • Analyze complex problems and derive testable hypotheses to guide experimental design

Benefits

  • Flexible work options
  • Comprehensive medical and dental insurance
  • Transparent pay structure and competitive compensation packages
  • Supportive company culture focused on individual and team development
  • Commitment to diversity and inclusion in the workplace
Full Job Description
Role: Senior Machine Learning Engineer
Reports to: VP, AI Engineering
Location: Houston, TX; Boston, MA;

A quick snapshot...
A Senior Machine Learning Engineer at Conga will design, develop, and deploy machine learning models and AI-powered features for production systems. You'll develop scalable ML infrastructure and services that handle high-volume workloads.

Why it's a big deal...As a Senior Machine Learning Engineer, you will play a vital role in the technology stack. You'll build and optimize ML pipelines for training, evaluation, and inference. You will implement and fine-tune large language models (LLMs) for various use cases including document analysis, natural language processing, and intelligent automation.

Are you the person we're looking for?

Related experience. At least 6 years of experience in building production-quality products. Ability to understand complex problems, decompose them into a set of testable hypotheses, implement bug-free experiments, analyze the results, and produce insights, solutions, and next steps from the analysis.

Technical expertise.
  • Proficiency with Python and basic libraries for machine learning (Python 3.x, jupyter notebook, regular expressions)
  • Cloud technology platforms (AWS, Azure, etc)
  • Experience with large language models (LLMs) and generative AI (GPT, Claude, LLaMA, or similar)
  • Solid understanding of ML fundamentals: supervised/unsupervised learning, neural networks, deep learning, NLP, computer vision

Education: A bachelor's degree in Computer Science, Engineering or equivalent

Here's what will give you an edge...
  • Experience with prompt engineering and retrieval-augmented generation (RAG) systems
  • Knowledge of vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Experience with document processing, OCR, or contract/legal document analysis
  • Familiarity with LangChain, LlamaIndex, or similar LLM frameworks
  • Experience with model optimization techniques (quantization, distillation, pruning)

#LI-BR1

In the spirit of the Conga Way, we strive to design easy-to-understand compensation programs that are fair and free from any type of discrimination. In keeping with this approach, we are committed to delivering competitive compensation and benefits packages to our colleagues worldwide and communicating transparently about the structure of our compensation programs.

Listed below is the U.S. base salary range for this full-time position. Within the range, individual pay is determined by job-related skills, experience, and relevant education, or training. In addition to base salary, Conganeers receive a variable incentive pay component, perks such as flexible work options, and a full range of benefits including medical and dental insurance.

The posted salary ranges are for the expectations outlined in the job description. We are often open to a wide variety of profiles and sometimes have flexibility within our organizational structure to adjust the role responsibilities up or down should we select a candidate that is less or more experienced than the posted job requirements. In these occasional cases, we will communicate the revised salary range to the candidate during the selection process.

U.S base salary range:

$133,540-$213,660 USD

Did we pique your interest?

If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!

Preferred Resume Format

We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume's formatting remains intact, making it easier for our recruiters to review your application promptly.

Don't meet every requirement for the role?

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.

About Conga

Conga is a software company that provides digital transformation solutions for businesses. The company's products include document generation, contract lifecycle management, and eSignature software. Conga was founded in 2006 and is headquartered in Denver, Colorado. The company has over 11,000 customers in more than 85 countries, including Hilton Worldwide, Siemens, and Salesforce. Conga has received numerous awards for its products and services, including recognition as a leader in the Gartner Magic Quadrant for Contract Lifecycle Management.
Learn more about Conga
Size
1,000 employees
Industry
Founded
2006

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