Search for Senior Machine Learning Engineer roles in Seattle, NYC, San Francisco, or Los Angeles. I have 5+ years of experience, and I'm proficient in Python, SQL, and AWS environments.

Okay, I've searched for Senior Machine Learning Engineer roles in Seattle, NYC, San Francisco, or Los Angeles, requiring 5+ years of experience and proficiency in Python, SQL, and AWS environments. I have found 112 positions for you.

Senior Machine Learning Engineer

Seattle, NYC, San Francisco, Los Angeles

5 years + Experience

Python

SQL

AWS

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

Sure. Here's the analysis:

Job Analysis:

The role of Sr. ML Engineer / Sr. Data Engineer is fundamentally centered on leveraging data to create robust machine-learning applications that support business needs. This person will collaborate closely with data scientists and engineers to develop and optimize machine-learning models, contributing to a data-driven culture within the company. Key responsibilities include feature engineering and optimization, where the engineer must adeptly manage large datasets and transform raw data into actionable insights that enhance model performance. Additionally, the expectation to establish best practices in development, testing, and deployment signifies the organization's commitment to high-quality deliverables. Success in this role requires not only technical expertise in tools like Python, SQL, and Spark but also a strong understanding of the organization's effective use of data—a crucial aspect for addressing various industry challenges. Candidates should be prepared to navigate complex data governance issues and possess the autonomy to make strategic decisions about data handling and model deployment.

Company Analysis:

The company, founded by women in 1997, occupies a unique and competitive space within the IT recruitment industry. With a focus on flexibility and relationship-building, it stands out in a crowded market that often prioritizes transactional over relational interactions. The emphasis on being a non-bureaucratic organization encourages innovation and agility, which is likely essential for the collaborative nature of the Sr. ML Engineer / Sr. Data Engineer role. Given the company’s diverse clientele across sectors such as entertainment, finance, and eCommerce, this role will hold significant weight in supporting data initiatives that drive business growth. The company culture suggests a supportive environment where creativity and strategic thinking are valued, allowing the new hire to thrive within a team-oriented structure. Overall, the company's strategic direction is growth-oriented, with a clear focus on maintaining cutting-edge technology and robust partnerships, which aligns closely with the technical and innovative requirements of the role.

Mock up some interview questions based on the job description.

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

Tell me about a time when you had to optimize a machine-learning model for large-scale data. What challenges did you face and how did you overcome them?
Describe an example of a successful collaboration you had with data scientists or engineers on a technical project. What was your role?
Can you provide an instance where you had to apply data governance policies? How did you ensure compliance while achieving your project objectives?
What metrics did you use to evaluate the success of a machine-learning model you deployed? How did you gather and analyze the relevant data?
How would you go about defining and acquiring new features for a machine-learning model in a production environment?
Can you explain your experience with using AWS for data engineering tasks? Which specific tools or services do you prefer and why?
How do you approach feature engineering when working with petabyte-scale datasets? What tools and techniques do you find most effective?
Imagine you're tasked with improving the efficiency of a data pipeline that is currently underperforming. What steps would you take?
What would you do if you identified a potential issue with model performance after deployment? How would you approach troubleshooting?
Why are you interested in working at our company specifically? What aspect of our mission aligns with your career goals?
How do you believe your values resonate with our company culture? Can you give examples?
What advancements in machine learning technology are you most excited about, and how do you think they will impact our industry?
Considering our diverse sectors, how would you prioritize projects when balancing multiple demands from different clients?
What are some questions you have for us about the learning and development opportunities available within the company?
How does your past experience prepare you to contribute effectively to our team and the company's goals?

Job Details

Overview Company

Senior ML Engineer / Senior Data Engineer

TechLink Resources, Inc

5 days ago

Highlight

RemoteFull-time5+ yearsSenior

Summary

TechLink Resources, Inc is seeking a Sr. ML Engineer / Sr Data Engineer to join their team remotely in the United States. The role involves partnering with data scientists and engineers to build and deploy large-scale feature sets and collaborate on machine-learning models.

About the Role

As a Sr. ML Engineer / Sr Data Engineer, you will be responsible for feature engineering and optimization, acquiring new data, and developing scalable data pipelines. You will work on model development, deployment, and optimization in large-scale production environments. The role also involves maintaining and establishing development standards and collaborating on data collection, feature development, and model experimentation.

About You

Required:

Bachelor’s degree in computer science, mathematics, or related fields.
5+ years of relevant experience.
Experience with data engineering technology and best practices.
Experience with building, training, and deploying machine learning models.
Expertise in Python and SQL.
Expertise in Spark, Snowflake, and dbt.
Experience working in AWS environments.
Experience working with data subject to privacy, governance, and legal policies.

Preferred:

Proficiency in Databricks and Snowflake in AWS environments.
Experience working in machine learning frameworks such as SparkML, scikit-learn, PyTorch, Keras.
Experience with Github, Airflow, Scala, and Java.
Proficiency in DevOps and CICD.
Experience with multiple model deployment tools.
Experience with MLflow or other tracking tools.
Experience working with Agile teams.
Experience with data science focused feature stores.
Strong data analysis and visualization skills.
Experience applying mathematical and statistical methods to data.

TechLink Resources, Inc

The company was started by Raylene Baron and Veronika Zaitseva at the beginning of 1997 and we quickly established ourselves as valuable business partners for clients and candidates in the IT field. Our company, based in Los Angeles, California, is privately held and woman owned. We hold WBE certification.

We pride ourselves in running a flexible, non-bureaucratic operation because really, isn't life is complicated enough? We are here to improve the quality of your life whether you're in the pursuit of a new job or the perfect hire.

The business of search is as competitive for placement companies as it is for all of you IT professionals out there. In order to keep our edge, we stay abreast of developments in technology and the industries we service (entertainment, media, music, financial, ecommerce, insurance ...). We also maintain excellent relationships with clients and candidates. We are grateful to our loyal clients with whom we have worked since the first few years of our business, and to the clients that we have developed over the years. Candidates become clients, clients become candidates - it all goes back to building and maintaining strong relationships.

We exploit technology and robust recruiting tools to help you with your search no matter where it is in the US. It really is a small small world if you know how to navigate your way around it .... and we do.

United States