(Python Based) Lead Research Engineer

Thomson Reuters; New York (NY); Hybrid; USD 120,000 - 282,000; Full time

Job summary

An established industry player in legal technology is seeking a skilled software engineer with a focus on machine learning. This exciting role offers the chance to lead technical projects and work collaboratively in a hybrid environment. You'll engage in the full software development lifecycle, creating innovative solutions that enhance transparency and justice. With a strong emphasis on work-life balance and a comprehensive benefits package, this position not only promises career advancement but also the opportunity to contribute to impactful projects. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you.

Benefits

Flexible hybrid work model

Comprehensive benefits package

Mental health days

Tuition reimbursement

Wellness resources

Qualifications

• 8+ years of software engineering experience with 2 years in machine learning.
• Proven experience leading technical workstreams in software engineering.

Responsibilities

• Provide technical leadership and collaborate with engineers on methodologies.
• Create large-scale data processing pipelines for machine learning algorithms.

Skills

Python

Machine Learning

Data Science Libraries (Numpy, Scipy, Pandas)

Java

TypeScript

Education

Bachelor's Degree in Computer Science

Job description

Employer Industry: Legal Technology and Information Services

Why consider this job opportunity:

1. Salary range up to $281,700
2. Opportunity for career advancement and growth within a global organization
3. Flexible hybrid work model with a strong focus on work-life balance
4. Comprehensive benefits package including mental health days, wellness resources, and tuition reimbursement
5. Collaborative and inclusive culture emphasizing diversity and innovation
6. Chance to contribute to impactful projects that enhance transparency and justice

What to Expect (Job Responsibilities):

1. Provide technical leadership and collaborate with engineers to refine methodologies and technology stacks
2. Engage in the entire software development lifecycle, from building to testing and delivering high-quality solutions
3. Create large-scale data processing pipelines for developing and training machine learning algorithms
4. Collaborate in a team-oriented environment, sharing knowledge and valuing diverse ideas
5. Communicate effectively with cross-functional partners and team members to articulate technical ideas and developments

What is Required (Qualifications):

1. Bachelor's Degree in Computer Science or a related field
2. At least 8 years of software engineering experience, including 2 years on machine learning products or solutions
3. Proven experience leading technical workstreams within a software engineering organization
4. Strong proficiency in Python and familiarity with data science libraries such as Numpy, Scipy, and Pandas
5. Demonstrated ability to integrate and deploy machine learning capabilities into existing systems

How to Stand Out (Preferred Qualifications):

1. Experience integrating machine learning solutions into production-grade software with knowledge of ModelOps and MLOps
2. Familiarity with Natural Language Processing (NLP) tasks and techniques
3. Hands-on experience with additional programming languages such as Java or TypeScript
4. Previous experience mentoring teams and guiding them through technical challenges
5. Exposure to cloud-native applications and system monitoring