Senior Machine Learning Engineer

Remote

Full Time

Technology

Experienced

** We welcome all USA Talent to apply. This job is 100% remote. **

Perceptyx is looking for a Senior Software Engineer (ML) with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. In this role, you’ll collaborate with a small, highly skilled group of engineers and data scientists to enhance our ML models and drive AI-powered innovation.

You'll work closely with product, engineering, and design teams to bring intelligent features to life, shaping the future of our AI-driven solutions. As a senior team member, you'll have the flexibility to influence the ML roadmap, ensuring our models continuously evolve to provide value to enterprise customers and their users.

If you’re excited about designing and implementing an AI-centered vision, building cutting-edge ML solutions, and seeing your work have a real impact, we’d love to hear from you. Apply today and help us push the boundaries of what’s possible with AI.

Please note: External applicants must be authorized to work in the US without an employment VISA or other sponsorship needs.

Essential Duties:

Develop, fine-tune, and deploy NLP models, including LLMs (OpenAI, Hugging Face), for sentiment analysis, text classification, and domain-specific applications.
Train and optimize pre-trained language models using custom datasets to meet business needs.
Build scalable ML pipelines using AWS (S3, SQS, EC2, Lambda) for training, inference, and monitoring.
Prototype, experiment, and document models using JupyterHub/Notebooks, ensuring reproducibility.
Apply MLOps best practices, including CI/CD, model monitoring, and automated retraining workflows.
Deploy and manage containerized ML models using Docker and Kubernetes for efficient scaling.
Collaborate with data engineers, software engineers, and product teams to integrate ML solutions.
Stay ahead of NLP and deep learning advancements by applying cutting-edge techniques.
Contribute to Agile development, participating in Scrum ceremonies.
Maintain clear technical documentation and best practice guidelines.
Share expertise through client consultations, technical blogs, whitepapers, and knowledge-sharing initiatives.
Expand professional knowledge by attending conferences, workshops, and industry events.

Education/Desired Skillsets:

Education: BA/BS in Computer Science, Machine Learning, Mathematics, or a related field (MA/MS/PhD preferred).
Experience: 6+ years in Machine Learning/NLP, with a focus on production-grade systems.
Technical Skills:
- Solid Python skills (Pandas, NumPy, PyTorch, Scikit-Learn, TensorFlow, Hugging Face).
- Hands-on experience fine-tuning and deploying LLMs (OpenAI, Hugging Face).
- Proficiency with SQL (Snowflake, MySQL) for large-scale datasets.
- Expertise in AWS (S3, SQS, EC2, Lambda) for scalable ML training and deployment.
- Experience with JupyterHub/Notebooks for prototyping and model development.
- Strong MLOps knowledge (CI/CD, model monitoring, retraining, automation).
- ML model integration into APIs and microservices.
- Familiarity with vector databases and embedding-based retrieval.
- Experience with Docker, Kubernetes, and containerized ML deployments.
- Knowledge of distributed computing frameworks (Spark, Ray, Dask).
- Proficiency with ML tracking tools (MLflow, Weights & Biases).
Soft Skills:
- Autonomous, action-oriented, and entrepreneurial mindset.
- Ability to translate technical needs into project plans and meet deadlines.
- Strong communication skills for both technical and non-technical audiences.
- Collaborative and open to working with diverse teams.

Compensation:

Perceptyx is focused on equitable pay for all our staff and aims for transparency with our pay practices. The annual salary range for the role is $130,000.00 - $195,000.00. The above range represents the expected base salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic/office location.

Benefits:

We Care About The Whole Person 🫶

Healthy medical, dental, and vision insurance for you and your family
Life insurance up to 1x your annual salary (with a cap) paid by Perceptyx
Generous Maternity, Paternity, and Adopter leave benefits with flexibility on when you use this benefit
Compassionate Care Program with paid time off to care for family members
Generous Bereavement Leave that also supports Pet Parents
401(k) plan along with a company match and immediate vesting upon hire

Flexible Time Away 🏝

As hard as we work, we also know how essential it is to take time away to rest and recharge. We offer flexible paid vacation with an expectation of every team member taking off at least 10 business days per calendar year.
16-17 paid holidays, depending on the calendar year.

Setting You Up For Success 🧑🏻‍💻👩🏾‍💻

Mac or PC laptop options
Invest in your career with access to 65k+ courses through our Learning Management System, Perceptyx Academy.

Perceptyx In The News 📰

Perceptyx Equal Employment Opportunity Policy:

Perceptyx celebrates diversity and an inclusive environment. We focus on providing an environment of mutual respect where equal employment opportunities are available to all employees and applicants for employment. We prohibit 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.

Perceptyx’s policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All aspects of employment are decided on the basis of qualifications, knowledge, merit, and business needs.

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Senior Machine Learning Engineer

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