Deduction Management • Historic Recovery • Retail Recovery Consultation • Deduction Avoidance
11 - 50
October 17
Deduction Management • Historic Recovery • Retail Recovery Consultation • Deduction Avoidance
11 - 50
• Who is STAT? We’re a recovery management firm focused on delivering value to suppliers. • Culture at STAT: fast growing tech-enabled services company with a collaborative culture. • To apply: Submit your resume and a cover letter introducing yourself with fun facts. • Stand out: We value creativity as much as technical skills—come up with your own programming language! • What You’ll Do: Design, develop, and deploy machine learning models to solve complex business problems. • Collaborate with teams to define requirements and ensure models meet business objectives. • Optimize and tune models for performance, scalability, and accuracy using various techniques. • Develop and maintain scalable machine learning pipelines to automate processes. • Integrate models into production systems for real-time applications. • Conduct exploratory data analysis to identify key insights. • Monitor model performance and identify potential issues proactively. • Stay up to date with advancements in ML techniques and frameworks. • Contribute to technical discussions and mentor junior engineers.
• Experienced in machine learning techniques and algorithms, with 3-5 years of hands-on experience building and deploying models in production environments. • Proficient in programming languages such as Python, R, or Scala, with solid experience in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Familiar with cloud platforms like Azure, AWS or GCP, and experienced in using them for model deployment and data processing. • Skilled in data manipulation and analysis, including experience with SQL, Pandas, or Spark, and handling datasets efficiently. • Problem solver with strong analytical thinking, able to break down complex problems and implement effective ML solutions. • A collaborative team player, comfortable working in cross-functional teams and able to communicate complex ideas clearly to both technical and non-technical stakeholders. • Self-motivated and curious, continuously learning and keeping up with the latest developments in machine learning and AI. • Detail-oriented with a focus on quality, ensuring code reliability, model accuracy, and robustness throughout the ML lifecycle. • Open to feedback and continuous improvement, actively seeking ways to enhance both technical and personal skills. • Flexible and eager to take on different tasks and challenges as they pop up • Embody and reflect the STAT culture and values in both thought and practice: Strategic, Nimble, Inquisitive, Proactive, Empathetic, Straightforward. • Bonus Points: Strong knowledge of data structures, algorithms, and software engineering principles, including experience with version control, CI/CD, and code optimization
• 8% 401k Match eligible to participate in our 401(k) savings and matching funds program, employer match your 401(k) contributions, up to 8% of your salary. • Employer paid health, dental, and vision benefits for you and your dependents • Employer paid Short-Term, Long-Term Disability, & Basic Life • Access to Free Virtual Primary, Urgent, and Mental Healthcare • Flexible vacation policy • Remote work environment • Paid Parental Leave • Opportunity to travel for Company Wide and Functional Team gatherings
Apply NowOctober 11
51 - 200
Educate ML practitioners about optimizing training and inference workloads at Hugging Face.
October 10
1001 - 5000
Develop machine learning solutions at Tiger Analytics, consulting with Fortune 500 companies.
October 4
51 - 200
Machine Learning Engineer for model architectures and hardware technologies at Hugging Face.
October 3
51 - 200
Train engineers in AI via advanced accelerator program.
October 3
51 - 200
Develop and optimize TTS models for improved user experience in voice cloning.