Search for Senior Software Engineer roles focused on machine learning in Boston, MA, preferably with 4+ years of experience, working remotely with flexible company culture, and offering tuition assistance.

Okay, I've searched for Senior Software Engineer roles focusing on machine learning in Boston, MA, requiring 4+ years of experience, allowing remote work with flexible company culture, and including tuition assistance benefits. I have found 27 positions that match your criteria.

Senior Software Engineer

Boston, MA

4 years + Experience

Remote

Tuition Assistance

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Software Engineer - Machine Learning position at Lensa for General Motors is fundamentally geared towards enhancing the performance and realism of autonomous vehicle systems through the development and optimization of ML and RL models. The key responsibilities highlight a blend of software engineering and machine learning expertise. Candidates will face the challenge of creating simulations that accurately mimic real-world interactions for autonomous vehicles, thereby ensuring safety and efficiency. Success will be marked by the effective deployment of models into production, improvement in project timelines, and significant contributions to the advancement of AV technologies. The integration of generative AI and reinforcement learning into high-stakes scenarios makes this role both challenging and instrumental to the overall mission, emphasizing the need for a candidate who can handle complex problem-solving and crucial decision-making in a fast-paced environment.

Company Analysis:

Lensa, which operates in the competitive tech landscape of AI-driven recruitment services, positions itself as an innovative disruptor in the job search arena. By leveraging technology to eliminate the traditional hassles of job hunting, Lensa's strength lies in its focus on user experience and effective talent matching. This mission aligns well with the responsibilities of the Senior Software Engineer position, as the successful candidate will contribute significantly to cutting-edge technologies like simulation for autonomous vehicles. The culture at Lensa appears to revolve around collaboration, creativity, and technological advancement, fostering an environment that encourages employees to innovate. The role being remote with occasional in-person collaboration signifies flexibility while maintaining a team-oriented approach. This position serves as a strategic hire, directly aimed at enhancing Lensa's partnerships in the autonomous vehicle space with General Motors and contributing to its vision of safer, more efficient transportation solutions.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Question: Tell me about a time when you had to overcome a significant challenge in a machine learning project. What did you learn from it?
Behavioral Question: Describe a situation where you had to collaborate with cross-functional teams. How did you ensure everyone was aligned on the objectives?
Behavioral Question: Can you provide an example of a project where you used your software engineering skills to solve a machine learning problem?
Behavioral Question: How have you handled feedback or critiques of your ML models in the past? What did you do to incorporate that feedback?
Technical Question: How would you approach optimizing a reinforcement learning model for a new AV scenario?
Technical Question: Can you explain your process for creating data pipelines for production ML models? What challenges have you faced?
Technical Question: Discuss your experience with TensorFlow or PyTorch. Which do you prefer and why?
Technical Question: What strategies do you employ to ensure your ML model architectures are scalable and fault-tolerant?
Situational Question: Imagine you're tasked with developing a new simulation scenario for AV training. What key factors would you consider?
Situational Question: If you discover a flaw in an ML model after deployment, how would you address it while ensuring minimal downtime?
Company Fit Question: Why do you want to work with Lensa and General Motors on their autonomous vehicle initiatives?
Company Fit Question: How do your personal values align with the mission of achieving zero crashes, emissions, and congestion?
Candidate's Question: What are the current challenges the Smart Agents team is facing with the deployment of AV technologies?
Candidate's Question: How does Lensa's approach to AI in job matching influence the broader goals of General Motors?

Job Details

Overview Company

Senior Software Engineer - Machine Learning

$134k/y-$205k/y

Lensa

3 months ago

Highlight

RemoteFull-time4+ yearsSenior

Summary

General Motors is seeking a Senior Software Engineer - Machine Learning to join their team in Boston, MA. The role involves developing ML and RL models to simulate road users and enhance autonomous vehicle technologies.

About the Role

As a Senior Software Engineer - Machine Learning, you will support the development of ML and RL models, including training loop development and optimization. You will streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. The role involves working closely with the Smart Agents group to develop ML/AI models that control simulated road users, contributing to autonomous vehicle training and testing.

About You

Required:

4+ years of experience in robotics or latency-sensitive backend services.
Proven experience in machine learning and classification.
Familiarity with ML frameworks such as Tensorflow or PyTorch.
Strong programming skills in modern C++ or Python.

Preferred:

Experience with profiling CPU and/or GPU software, process scheduling, and prioritization.
Passion for self-driving car technology and its impact on the world.
Expertise in setting scalable, efficient, fault-tolerant architectures.
Ability to design across multiple systems and shift between coding, design, technical strategy, and mentorship.
Track record in deploying perception/prediction/AV models into real-world environments.
Experience working with RL and sequence prediction models.

Benefits

Compensation range: $134k–$205k.
Bonus potential based on company performance, job level, and individual performance.
Health and wellbeing benefit programs including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts.
Relocation benefits may be available.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Boston, MA